Academic literature on the topic 'Visual image reconstruction'
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Journal articles on the topic "Visual image reconstruction"
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Nestor, Adrian, David C. Plaut, and Marlene Behrmann. "Feature-based face representations and image reconstruction from behavioral and neural data." Proceedings of the National Academy of Sciences 113, no. 2 (2015): 416–21. http://dx.doi.org/10.1073/pnas.1514551112.
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The reconstruction of images from neural data can provide a unique window into the content of human perceptual representations. Although recent efforts have established the viability of this enterprise using functional magnetic resonance imaging (MRI) patterns, these efforts have relied on a variety of prespecified image features. Here, we take on the twofold task of deriving features directly from empirical data and of using these features for facial image reconstruction. First, we use a method akin to reverse correlation to derive visual features from functional MRI patterns elicited by a large set of homogeneous face exemplars. Then, we combine these features to reconstruct novel face images from the corresponding neural patterns. This approach allows us to estimate collections of features associated with different cortical areas as well as to successfully match image reconstructions to corresponding face exemplars. Furthermore, we establish the robustness and the utility of this approach by reconstructing images from patterns of behavioral data. From a theoretical perspective, the current results provide key insights into the nature of high-level visual representations, and from a practical perspective, these findings make possible a broad range of image-reconstruction applications via a straightforward methodological approach.
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Bae, Joungeun, and Hoon Yoo. "Image Enhancement for Computational Integral Imaging Reconstruction via Four-Dimensional Image Structure." Sensors 20, no. 17 (2020): 4795. http://dx.doi.org/10.3390/s20174795.
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This paper describes the image enhancement of a computational integral imaging reconstruction method via reconstructing a four-dimensional (4-D) image structure. A computational reconstruction method for high-resolution three-dimensional (3-D) images is highly required in 3-D applications such as 3-D visualization and 3-D object recognition. To improve the visual quality of reconstructed images, we introduce an adjustable parameter to produce a group of 3-D images from a single elemental image array. The adjustable parameter controls overlapping in back projection with a transformation of cropping and translating elemental images. It turns out that the new parameter is an independent parameter from the reconstruction position to reconstruct a 4-D image structure with four axes of x, y, z, and k. The 4-D image structure of the proposed method provides more visual information than existing methods. Computer simulations and optical experiments are carried out to show the feasibility of the proposed method. The results indicate that our method enhances the image quality of 3-D images by providing a 4-D image structure with the adjustable parameter.
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Wang, Xia, and Qianqian Hu. "Visual Truth and Image Manipulation: Visual Ethical Anomie and Reconstruction of Digital Photography." SHS Web of Conferences 155 (2023): 03018. http://dx.doi.org/10.1051/shsconf/202315503018.
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Digital photography has impacted the visual truth in terms of image operation technology. The paper analyzes the performance of image manipulation in digital photography, and asserts that the operation image’s resolution of visual truth can be described by three aspects: the fact deviation, the reconstruction of the situation, the trust crisis, the filter survival, the second reprint, and the value change. Consequently, there are three visual ethical problems associated with the manipulation of images by technology, the siege of images on people, and distortions of social order caused by the manipulation of images by technology. Thus, it is suggested that visual ethics be reconstructed from three perspectives: reconstructing the dominant role of human beings in the digital era, returning to the original significance of visual images, and constructing multiple visual structures.
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Meng, Lu, and Chuanhao Yang. "Dual-Guided Brain Diffusion Model: Natural Image Reconstruction from Human Visual Stimulus fMRI." Bioengineering 10, no. 10 (2023): 1117. http://dx.doi.org/10.3390/bioengineering10101117.
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The reconstruction of visual stimuli from fMRI signals, which record brain activity, is a challenging task with crucial research value in the fields of neuroscience and machine learning. Previous studies tend to emphasize reconstructing pixel-level features (contours, colors, etc.) or semantic features (object category) of the stimulus image, but typically, these properties are not reconstructed together. In this context, we introduce a novel three-stage visual reconstruction approach called the Dual-guided Brain Diffusion Model (DBDM). Initially, we employ the Very Deep Variational Autoencoder (VDVAE) to reconstruct a coarse image from fMRI data, capturing the underlying details of the original image. Subsequently, the Bootstrapping Language-Image Pre-training (BLIP) model is utilized to provide a semantic annotation for each image. Finally, the image-to-image generation pipeline of the Versatile Diffusion (VD) model is utilized to recover natural images from the fMRI patterns guided by both visual and semantic information. The experimental results demonstrate that DBDM surpasses previous approaches in both qualitative and quantitative comparisons. In particular, the best performance is achieved by DBDM in reconstructing the semantic details of the original image; the Inception, CLIP and SwAV distances are 0.611, 0.225 and 0.405, respectively. This confirms the efficacy of our model and its potential to advance visual decoding research.
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Kumar, L. Ravi, K. G. S. Venkatesan, and S.Ravichandran. "Cloud-enabled Internet of Things Medical Image Processing Compressed Sensing Reconstruction." International Journal of Scientific Methods in Intelligence Engineering Networks 01, no. 04 (2023): 11–21. http://dx.doi.org/10.58599/ijsmien.2023.1402.
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Deep learning compresses medical image processing in IoMT. CS-MRI acquires quickly. It has various medicinal uses due to its advantages. This lowers motion artifacts and contrast washout. Reduces patient pressure and scanning costs. CS-MRI avoids the Nyquist-Shannon sampling barrier. Parallel imagingbased fast MRI uses many coils to reconstruct MRI images with less raw data. Parallel imaging enables rapid MRI. This research developed a deep learning-based method for reconstructing CS-MRI images that bridges the gap between typical non-learning algorithms that employ data from a single image and enormous training datasets. Conventional approaches only reconstruct CS-MRI data from one picture. Reconstructing CS-MRI images. CS-GAN is recommended for CS-MRI reconstruction. For success. Refinement learning stabilizes our C-GAN-based generator, which eliminates aliasing artifacts. This improved newly produced data. Product quality increased. Adversarial and information loss recreated the picture. We should protect the image’s texture and edges. Picture and frequency domain data establish consistency. We want frequency and picture domain information to match. It offers visual domain data. Traditional CS-MRI reconstruction and deep learning were used in our broad comparison research. C-GAN enhances reconstruction while conserving perceptual visual information. MRI image reconstruction takes 5 milliseconds, allowing real-time analysis.
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Yang, Qi, and Jong Hoon Yang. "Virtual Reconstruction of Visually Conveyed Images under Multimedia Intelligent Sensor Network Node Layout." Journal of Sensors 2022 (February 2, 2022): 1–12. http://dx.doi.org/10.1155/2022/8367387.
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In this paper, multimedia intelligent sensing technology is applied to the virtual reconstruction of images to construct or restore images to the communication media for visual communication. This paper proposes image virtual reconstruction theory based on visual communication research, treats image virtual reconstruction content as open data links and customized domain ontology, establishes an interdisciplinary interactive research framework through the technical means of visual communication, solves the problem of data heterogeneity brought by image virtual reconstruction, and finally establishes a three-dimensional visualization research method and principle of visual communication. The research firstly visual communication cuts into the existing conservation principles and proposes the necessity of image virtual reconstruction from the perspective of visual communication; secondly, the thinking mode of digital technology is different from human thinking mode, and the process of calculation ignores the emotional and spiritual values, but the realization of value rationality must be premised on instrumental rationality. This requires a content judgment and self-examination of the technical dimensional model of image virtual reconstruction on top of comprehensive literature and empirical evidence. In response to the research difficulties such as the constructivity of visual communication, the solution of image virtual reconstruction of visual communication is proposed based on the data collection method and literature characteristics. The process of introducing the tools of computer science into humanity research needs to be placed in a continuous critical theory system due to the uncontrollable and subjective nature of visual content, and finally, based on the construction of information models for image virtual reconstruction, the ontology and semantics of information modeling are thoroughly investigated, and the problems related to them, such as interpretation, wholeness, and interactivity, are analyzed and solved one by one. The transparency of image virtual reconstruction is enhanced through the introduction of interactive metadata, and this theoretical system of virtual restoration is put into practice in the Dunhuang digital display design project.
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Yin, Jing, and Jong Hoon Yang. "Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect." Complexity 2021 (June 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/5616826.
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In order to solve the problems of poor user experience and low human-computer interaction efficiency, this paper designs a 3D image virtual reconstruction system based on visual communication effects. First, the functional framework diagram and hardware structure diagram of the image 3D reconstruction system are given. Then, combined with the basic theory of visual communication design, the characteristics of different elements in the three-dimensional image system and reasonable visual communication forms are analyzed, and design principles are proposed to improve user experience and communication efficiency. After the input image is preprocessed by median filtering, a three-dimensional reconstruction algorithm based on the image sequence is used to perform a three-dimensional reconstruction of the preprocessed image. The performance of the designed system was tested in a comparison form. We optimize the original hardware structure, expand the clock module, and use the chip to improve the data processing efficiency; in the two-dimensional image; we read the main information, through data conversion, display it in three-dimensional form, select the feature area, extract the image feature, calculate the key physical coordinate points, complete the main code compilation, use visual communication technology to feed back the display visual elements to the 3D image, and complete the design of the 3D image virtual reconstruction system. The test results showed that the application of visual communication technology to the virtual reconstruction of 3D images can effectively remove noise and make the edge area of the image clear, which can meet the needs of users compared with the reconstruction results of the original system. Visual C++ and 3DMAX are used as the system design platform, and three-dimensional image visualization and roaming are realized through OpenGL. Experimental results show that the designed system has better reconstruction accuracy and user satisfaction.
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Njølstad, Tormund, Anselm Schulz, Johannes C. Godt, et al. "Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience." Acta Radiologica Open 10, no. 4 (2021): 205846012110083. http://dx.doi.org/10.1177/20584601211008391.
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Background A novel Deep Learning Image Reconstruction (DLIR) technique for computed tomography has recently received clinical approval. Purpose To assess image quality in abdominal computed tomography reconstructed with DLIR, and compare with standardly applied iterative reconstruction. Material and methods Ten abdominal computed tomography scans were reconstructed with iterative reconstruction and DLIR of medium and high strength, with 0.625 mm and 2.5 mm slice thickness. Image quality was assessed using eight visual grading criteria in a side-by-side comparative setting. All series were presented twice to evaluate intraobserver agreement. Reader scores were compared using univariate logistic regression. Image noise and contrast-to-noise ratio were calculated for quantitative analyses. Results For 2.5 mm slice thickness, DLIR images were more frequently perceived as equal or better than iterative reconstruction across all visual grading criteria (for both DLIR of medium and high strength, p < 0.001). Correspondingly, DLIR images were more frequently perceived as better (as opposed to equal or in favor of iterative reconstruction) for visual reproduction of liver parenchyma, intrahepatic vascular structures as well as overall impression of image noise and texture (p < 0.001). This improved image quality was also observed for 0.625 mm slice images reconstructed with DLIR of high strength when directly comparing to traditional iterative reconstruction in 2.5 mm slices. Image noise was significantly lower and contrast-to-noise ratio measurements significantly higher for images reconstructed with DLIR compared to iterative reconstruction (p < 0.01). Conclusions Abdominal computed tomography images reconstructed using a DLIR technique shows improved image quality when compared to standardly applied iterative reconstruction across a variety of clinical image quality criteria.
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Xu, Li, Ling Bai, and Lei Li. "The Effect of 3D Image Virtual Reconstruction Based on Visual Communication." Wireless Communications and Mobile Computing 2022 (January 5, 2022): 1–8. http://dx.doi.org/10.1155/2022/6404493.
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Considering the problems of poor effect, long reconstruction time, large mean square error (MSE), low signal-to-noise ratio (SNR), and structural similarity index (SSIM) of traditional methods in three-dimensional (3D) image virtual reconstruction, the effect of 3D image virtual reconstruction based on visual communication is proposed. Using the distribution set of 3D image visual communication feature points, the feature point components of 3D image virtual reconstruction are obtained. By iterating the 3D image visual communication information, the features of 3D image virtual reconstruction in visual communication are decomposed, and the 3D image visual communication model is constructed. Based on the calculation of the difference of 3D image texture feature points, the spatial position relationship of 3D image feature points after virtual reconstruction is calculated to complete the texture mapping of 3D image. The deep texture feature points of 3D image are extracted. According to the description coefficient of 3D image virtual reconstruction in visual communication, the virtual reconstruction results of 3D image are constrained. The virtual reconstruction algorithm of 3D image is designed to realize the virtual reconstruction of 3D image. The results show that when the number of samples is 200, the virtual reconstruction time of this paper method is 2.1 s, and the system running time is 5 s; the SNR of the virtual reconstruction is 35.5 db. The MSE of 3D image virtual reconstruction is 3%, and the SSIM of virtual reconstruction is 1.38%, which shows that this paper method can effectively improve the ability of 3D image virtual reconstruction.
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Li, Yuting. "Design of 3D Image Visual Communication System for Automatic Reconstruction of Digital Images." Advances in Multimedia 2022 (July 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/3369386.
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In order to improve the visual communication effect of the 3D image visual communication system, this article combines the automatic reconstruction technology of digital images to design the 3D image visual communication system. Moreover, this article studies the shock stability of the shock capture scheme by combining entropy generation analysis, linear disturbance analysis, and numerical experiments. In addition to this, this article presents a general method that can be used to suppress numerical shock instabilities in various Godunov-type schemes. It can be seen from the experimental results that the proposed 3D image visual communication system for the automatic reconstruction of digital images has a good visual communication effect.
Dissertations / Theses on the topic "Visual image reconstruction"
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Duraisamy, Prakash. "3D Reconstruction Using Lidar and Visual Images." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177193/.
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In this research, multi-perspective image registration using LiDAR and visual images was considered. 2D-3D image registration is a difficult task because it requires the extraction of different semantic features from each modality. This problem is solved in three parts. The first step involves detection and extraction of common features from each of the data sets. The second step consists of associating the common features between two different modalities. Traditional methods use lines or orthogonal corners as common features. The third step consists of building the projection matrix. Many existing methods use global positing system (GPS) or inertial navigation system (INS) for an initial estimate of the camera pose. However, the approach discussed herein does not use GPS, INS, or any such devices for initial estimate; hence the model can be used in places like the lunar surface or Mars where GPS or INS are not available. A variation of the method is also described, which does not require strong features from both images but rather uses intensity gradients in the image. This can be useful when one image does not have strong features (such as lines) or there are too many extraneous features.
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He, Peng. "Image-based reconstruction and visual hull from imprecise input." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10005.
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Image-based reconstruction is a series of computer vision processes which takes 2D images of the scene as input and outputs the geometric shape approximate of the scene. It has vast applications in industrial design, manufacture, gaming, filming, heritage protection and many other areas. The visual hull of a polyhedral (or polygonal) scene in R3 (or R2) is the best 3D (or 2D) shape that one can retrieve from its silhouettes. It has great advantage in obstacle avoidance, robotic navigation, 3D model acquisition and human motion tracking. A 3D visual hull is bounded by planes and quadratic surfaces. Classical image-based reconstruction and visual hull methods fail to maintain the exactness and robustness when the input is imprecise. In the solid domain of 3D objects in R3, geometric shapes with imprecision are well modelled and carefully studied. Each partial geometric object is defined by two disjoint open sets : interior and exterior. The interior (respectively, exterior) is an open set that contains all the points definitely known to be inside (respectively, outside) the object. Partial objects, ordered with subset inclusion, form a continuous Scott domain in which each object approximates the target object at a certain level of precision. We study the image-based reconstruction and visual hull in the solid domain which allows the notion of the partial polyhedron and the partial visual hull. They capture the imprecision in the input polyhedral scenes and outputs the exact information about what points are definitely inside or outside the reconstructed scene and the visual hull. The partial image-based reconstruction and the partial visual hull algorithm maintain the same computational complexity as the corresponding classical methods. The outputs of the algorithms are partial objects or partial visual hulls which converge to their classical counterparts as the input converges to an exact value. For the image-based reconstruction and the 2D visual hull, we show that their construction processes with imprecise input are Hausdro and the Scott continuity. For the 3D visual hull algorithm, we show its Hausdro and the Scott continuity of the domain-theoretic construction in the Solid domain of the projective 3 space P3. Furthermore, we prove the computability of the image-based reconstruction, the 2D and the 3D visual hull.
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Grauman, Kristen Lorraine 1979. "A statistical image-based shape model for visual hull reconstruction and 3D structure inference." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87347.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 69-72).<br>by Kristen Lorraine Grauman.<br>S.M.
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Ozcelik, Furkan. "Déchiffrer le langage visuel du cerveau : reconstruction d'images naturelles à l'aide de modèles génératifs profonds à partir de signaux IRMf." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES073.
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Les grands esprits de l'humanité ont toujours été curieux de la nature de l'esprit, du cerveau et de la conscience. Par le biais d'expériences physiques et mentales, ils ont tenté de répondre à des questions difficiles sur la perception visuelle. Avec le développement des techniques de neuro-imagerie, les techniques de codage et de décodage neuronaux ont permis de mieux comprendre la manière dont nous traitons les informations visuelles. Les progrès réalisés dans les domaines de l'intelligence artificielle et de l'apprentissage profond ont également influencé la recherche en neuroscience. Avec l'émergence de modèles génératifs profonds tels que les autoencodeurs variationnels (VAE), les réseaux adversariaux génératifs (GAN) et les modèles de diffusion latente (LDM), les chercheurs ont également utilisé ces modèles dans des tâches de décodage neuronal telles que la reconstruction visuelle des stimuli perçus à partir de données de neuro-imagerie. La présente thèse fournit deux bases théoriques dans le domaine de la reconstruction des stimuli perçus à partir de données de neuro-imagerie, en particulier les données IRMf, en utilisant des modèles génératifs profonds. Ces bases théoriques se concentrent sur des aspects différents de la tâche de reconstruction visuelle que leurs prédécesseurs, et donc ils peuvent apporter des résultats précieux pour les études qui suivront. La première étude dans la thèse (décrite au chapitre 2) utilise un modèle génératif particulier appelé IC-GAN pour capturer les aspects sémantiques et réalistes de la reconstruction visuelle. La seconde étude (décrite au chapitre 3) apporte une nouvelle perspective sur la reconstruction visuelle en fusionnant les informations décodées à partir de différentes modalités (par exemple, le texte et l'image) en utilisant des modèles de diffusion latente récents. Ces études sont à la pointe de la technologie dans leurs domaines de référence en présentant des reconstructions très fidèles des différents attributs des stimuli. Dans nos deux études, nous proposons des analyses de régions d'intérêt (ROI) pour comprendre les propriétés fonctionnelles de régions visuelles spécifiques en utilisant nos modèles de décodage neuronal. Les relations statistiques entre les régions d'intérêt et les caractéristiques latentes décodées montrent que les zones visuelles précoces contiennent plus d'informations sur les caractéristiques de bas niveau (qui se concentrent sur la disposition et l'orientation des objets), tandis que les zones visuelles supérieures sont plus informatives sur les caractéristiques sémantiques de haut niveau. Nous avons également observé que les images optimales de ROI générées à l'aide de nos techniques de reconstruction visuelle sont capables de capturer les propriétés de sélectivité fonctionnelle des ROI qui ont été examinées dans de nombreuses études antérieures dans le domaine de la recherche neuroscientifique. Notre thèse tente d'apporter des informations précieuses pour les études futures sur le décodage neuronal, la reconstruction visuelle et l'exploration neuroscientifique à l'aide de modèles d'apprentissage profond en fournissant les résultats de deux bases théoriques de reconstruction visuelle et d'analyses de ROI. Les résultats et les contributions de la thèse peuvent aider les chercheurs travaillant dans le domaine des neurosciences cognitives et avoir des implications pour les applications d'interface cerveau-ordinateur<br>The great minds of humanity were always curious about the nature of mind, brain, and consciousness. Through physical and thought experiments, they tried to tackle challenging questions about visual perception. As neuroimaging techniques were developed, neural encoding and decoding techniques provided profound understanding about how we process visual information. Advancements in Artificial Intelligence and Deep Learning areas have also influenced neuroscientific research. With the emergence of deep generative models like Variational Autoencoders (VAE), Generative Adversarial Networks (GAN) and Latent Diffusion Models (LDM), researchers also used these models in neural decoding tasks such as visual reconstruction of perceived stimuli from neuroimaging data. The current thesis provides two frameworks in the above-mentioned area of reconstructing perceived stimuli from neuroimaging data, particularly fMRI data, using deep generative models. These frameworks focus on different aspects of the visual reconstruction task than their predecessors, and hence they may bring valuable outcomes for the studies that will follow. The first study of the thesis (described in Chapter 2) utilizes a particular generative model called IC-GAN to capture both semantic and realistic aspects of the visual reconstruction. The second study (mentioned in Chapter 3) brings new perspective on visual reconstruction by fusing decoded information from different modalities (e.g. text and image) using recent latent diffusion models. These studies become state-of-the-art in their benchmarks by exhibiting high-fidelity reconstructions of different attributes of the stimuli. In both of our studies, we propose region-of-interest (ROI) analyses to understand the functional properties of specific visual regions using our neural decoding models. Statistical relations between ROIs and decoded latent features show that while early visual areas carry more information about low-level features (which focus on layout and orientation of objects), higher visual areas are more informative about high-level semantic features. We also observed that generated ROI-optimal images, using these visual reconstruction frameworks, are able to capture functional selectivity properties of the ROIs that have been examined in many prior studies in neuroscientific research. Our thesis attempts to bring valuable insights for future studies in neural decoding, visual reconstruction, and neuroscientific exploration using deep learning models by providing the results of two visual reconstruction frameworks and ROI analyses. The findings and contributions of the thesis may help researchers working in cognitive neuroscience and have implications for brain-computer-interface applications
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Anliot, Manne. "Volume Estimation of Airbags: A Visual Hull Approach." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-421.
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<p>This thesis presents a complete and fully automatic method for estimating the volume of an airbag, through all stages of its inflation, with multiple synchronized high-speed cameras.</p><p>Using recorded contours of the inflating airbag, its visual hull is reconstructed with a novel method: The intersections of all back-projected contours are first identified with an accelerated epipolar algorithm. These intersections, together with additional points sampled from concave surface regions of the visual hull, are then Delaunay triangulated to a connected set of tetrahedra. Finally, the visual hull is extracted by carving away the tetrahedra that are classified as inconsistent with the contours, according to a voting procedure.</p><p>The volume of an airbag's visual hull is always larger than the airbag's real volume. By projecting a known synthetic model of the airbag into the cameras, this volume offset is computed, and an accurate estimate of the real airbag volume is extracted. </p><p>Even though volume estimates can be computed for all camera setups, the cameras should be specially posed to achieve optimal results. Such poses are uniquely found for different airbag models with a separate, fully automatic, simulated annealing algorithm.</p><p>Satisfying results are presented for both synthetic and real-world data.</p>
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Naouai, Mohamed. "Localisation et reconstruction du réseau routier par vectorisation d'image THR et approximation des contraintes de type "NURBS"." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-00994333.
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Ce travail de thèse vise à mettre en place un système d'extraction de réseau routier en milieu urbain à partir d'image satellite à très haute résolution. Dans ce contexte, nous avons proposé deux méthodes de localisation de routes. La première approche est fondée sur la procédure de conversion de l'image vers un format vectoriel. L'originalité de cette approche réside dans l'utilisation d'une méthode géométrique pour assurer le passage vers une représentation vectorielle de l'image d'origine et la mise en place d'un formalisme logique fondé sur un ensemble de critères perceptifs permettant le filtrage de l'information inutile et l'extraction des structures linéaires. Dans la deuxième approche, nous avons proposé un algorithme fondé sur la théorie des ondelettes, il met particulièrement en évidence les deux volets multi-résolution et multi-direction. Nous proposons donc une approche de localisation des routes mettant en jeux l'information fréquentielle multi directionnelle issue de la transformée en ondelette Log-Gabor. Dans l'étape de localisation, nous avons présenté deux détecteurs de routes qui exploitent l'information radiométrique, géométrique et fréquentielle. Cependant, ces informations ne permettent pas un résultat exact et précis. Pour remédier à ce problème, un algorithme de suivi s'avère nécessaire. Nous proposons la reconstruction de réseaux routiers par des courbes NURBS. Cette approche est basée sur un ensemble de points de repères identifiés dans la phase de localisation. Elle propose un nouveau concept, que nous avons désigné par NURBSC, basé sur les contraintes géométriques des formes à approximer. Nous connectons les segments de route identifiés afin d'obtenir des tracés continus propres aux routes.
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Féraud, Thomas. "Rejeu de chemin et localisation monoculaire : application du Visual SLAM sur carte peu dense en environnement extérieur contraint." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00697028.
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Dans le cadre de la robotique mobile en environnement extérieur, les concepts de localisation et de perception sont au coeur de toute réalisation. Aussi, les travaux menés au sein de cette thèse visent à rendre plus robustes des processus de localisation existants sans pour autant augmenter de manière notable leur complexité. La problématique proposée place un robot au sein d'un environnement potentiellement dangereux avec pour objectif de suivre une trajectoire établie comme sécurisée avec une carte aussi simple que possible. De plus, des contraintes fortes sont imposées tant dans la réalisation (système peu onéreux, indétectable) que dans le résultat (une exécution temps-réel et une localisation en permanence dans une tolérance de 10 cm autour de la trajectoire de référence). Le capteur extéroceptif choisi pour mener à bien ce projet est une caméra tandis que l'estimation de la pose du véhicule à chaque instant est réalisée par un filtre de Kalman dans sa version étendue. Les principaux problèmes d'estimation résident dans la non-linéarité des modèles d'observation et les contributions apportées apportent quelques solutions : - une méthode de calcul exacte de la propagation des incertitudes de l'espace monde vers l'espace capteur (caméra) ; - une méthode de détection des principaux cas de divergence du filtre de Kalman dans le calcul de la phase de mise à jour ; - une méthode de correction du gain de Kalman. Ce projet avait deux objectifs : réaliser une fonction de localisation répondant aux contraintes fortes préalablement évoquées, et permettre à un véhicule de quitter temporairement la trajectoire de référence, suite à la prise en main de l'opérateur pour ensuite reprendre le cours normal de sa mission au plus près de la trajectoire de référence. Ce deuxième volet fait intervenir un cadre plus large dans lequel il faut, en plus de la localisation, cartographier son environnement. Cette problématique, identifiée par l'acronyme SLAM (Simultaneous Localization And Mapping), fait le lien avec les deux dernières contributions de ces travaux de thèse : - une méthode d'initialisation des points qui constitueront la carte SLAM ; - une méthode pour maintenir la cohérence entre la carte de référence et la carte SLAM. Des résultats sur des données réelles, étayant chacune des contributions, sont présentés et illustrent la réalisation des deux principaux objectifs.
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North, Peter R. J. "The reconstruction of visual appearance by combining stereo surfaces." Thesis, University of Sussex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362837.
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Ebrahimi, Shahin. "Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices." Thesis, Paris, ENSAM, 2017. http://www.theses.fr/2017ENAM0050/document.
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L’exploitation de données radiographiques, en particulier pour la reconstruction 3D du rachis de patients scoliotiques, est un prérequis à la modélisation personnalisée. Les méthodes actuelles, bien qu’assez robustes pour la routine clinique, reposent sur des ajustements manuels fastidieux. Dans ce contexte, ce travail de thèse vise à la détection automatisée de points anatomiques spécifiques des vertèbres, permettant ainsi des ajustements automatisés. Nous avons développé premièrement une méthode originale de localisation de coins de vertèbres cervicales et lombaires sur les radiographies sagittales. L’évaluation rigoureuse de cette méthode suggère sa robustesse et sa précision. Nous avons ensuite développé un algorithme pour le problème pertinent cliniquement de localisation des pédicules sur les radiographies coronales. Cet algorithme se compare favorablement aux méthodes similaires dans la littérature, qui nécessitent une saisie manuelle. Enfin, nous avons soulevé les problèmes, relativement peu étudiés, de détection, identification et segmentation des apophyses épineuses du rachis cervical dans les radiographies sagittales. Toutes les tâches mentionnées ont été réalisées grâce à une combinaison originale de descripteurs visuels et une classification multi-classe par Random Forest, menant à une nouvelle et puissante approche de localisation et de segmentation. Les méthodes proposées dans cette thèse suggèrent un grand potentiel pour être intégré à la reconstruction 3D du rachis, utilisée quotidiennement en routine clinique<br>Exploitation of spine radiographs, in particular for 3D spine shape reconstruction of scoliotic patients, is a prerequisite for personalized modelling. Current methods, even though robust enough to be used in clinical routine, still rely on tedious manual adjustments. In this context, this PhD thesis aims toward automated detection of specific vertebrae landmarks in spine radiographs, enabling automated adjustments. In the first part, we developed an original Random Forest based framework for vertebrae corner localization that was applied on sagittal radiographs of both cervical and lumbar spine regions. A rigorous evaluation of the method confirms robustness and high accuracy of the proposed method. In the second part, we developed an algorithm for the clinically-important task of pedicle localization in the thoracolumbar region on frontal radiographs. The proposed algorithm compares favourably to similar methods from the literature while relying on less manual supervision. The last part of this PhD tackled the scarcely-studied task of joint detection, identification and segmentation of spinous processes of cervical vertebrae in sagittal radiographs, with again high precision performance. All three algorithmic solutions were designed around a generic framework exploiting dedicated visual feature descriptors and multi-class Random Forest classifiers, proposing a novel solution with computational and manual supervision burdens aiming for translation into clinical use. Overall, the presented frameworks suggest a great potential of being integrated in current spine 3D reconstruction frameworks that are used in daily clinical routine
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Haouchine, Nazim. "Image-guided simulation for augmented reality during hepatic surgery." Thesis, Lille 1, 2015. http://www.theses.fr/2015LIL10009/document.
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L’objectif principal de cette thèse est de fournir aux chirurgiens des outils d’aide à la décision pré et per-opératoire lors d’interventions minimalement invasives en chirurgie hépatique. Ces interventions reposent en général sur des techniques de laparoscopie ou plus récemment d’endoscopie flexible. Lors de telles interventions, le chirurgien cherche à retirer un nombre souvent important de tumeurs hépatiques, tout en préservant le rôle fonctionnel du foie. Cela implique de définir une hépatectomie optimale, c’est à dire garantissant un volume du foie post-opératoire d’au moins 55% du foie initial et préservant au mieux la vascularisation hépatique. Bien qu’une planification de l’intervention puisse actuellement s’envisager sur la base de données pré-opératoire spécifiques au patient, les mouvements importants du foie et ses déformations lors de l’intervention rendent cette planification très difficile à exploiter en pratique. Les travaux proposés dans cette thèse visent à fournir des outils de réalité augmentée utilisables en conditions per-opératoires et permettant de visualiser à chaque instant la position des tumeurs et réseaux vasculaires hépatiques<br>The main objective of this thesis is to provide surgeons with tools for pre and intra-operative decision support during minimally invasive hepatic surgery. These interventions are usually based on laparoscopic techniques or, more recently, flexible endoscopy. During such operations, the surgeon tries to remove a significant number of liver tumors while preserving the functional role of the liver. This involves defining an optimal hepatectomy, i.e. ensuring that the volume of post-operative liver is at least at 55% of the original liver and the preserving at hepatic vasculature. Although intervention planning can now be considered on the basis of preoperative patient-specific, significant movements of the liver and its deformations during surgery data make this very difficult to use planning in practice. The work proposed in this thesis aims to provide augmented reality tools to be used in intra-operative conditions in order to visualize the position of tumors and hepatic vascular networks at any time
Books on the topic "Visual image reconstruction"
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Huck, Friedrich O. Visual communication: An information theoryapproach. Kluwer Academic, 1997.
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Huck, Friedrich O. Visual communication: An information theory approach. Kluwer Academic Publishers, 1997.
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Wiber, Melanie. Erect men/undulating women: The visual imagery of gender, race, and progress in reconstructive illustrations of human evolution. Wilfrid Laurier University Press, 1997.
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Huck, Friedrich O., Zia-ur Rahman, and Carl L. Fales. Visual Communication: An Information Theory Approach. Springer London, Limited, 2013.
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McDaniel, Justin Thomas. Conclusions and Comparisons. University of Hawai'i Press, 2017. http://dx.doi.org/10.21313/hawaii/9780824865986.003.0005.
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Starting off with the unique story of the Buddha and leisure park designed in rural Louisiana, the conclusion argues that despite many problems with large comparative projects Buddhist Studies, the amusement parks, memorials, museums, and gardens described in the book as a whole share many qualities. They generally lack formal, formidable, ritual, ecclesiastical, or sectarian boundaries. They make little sustained effort to be “authentic.” These sites emphasize display, performance, and juxtaposition and anachronistic mixing (not systematic reconstruction) of various Buddhist cultures, teachings, languages, objects, and symbols. This is important, because it provides us with a completely different image of contemporary Buddhism that emphasizes innovation and ecumenism instead of purity and authenticity. These sites present different Buddhist traditions, images, and aesthetic expressions as united but not uniform, collected but not concise—a gathering not a movement. By eschewing the local and authentic in favor of the timeless, ecumenical, and universal, they become difficult to categorize. They make visual statements for sure, even if they don’t attempt to create single messages or provide coherent teachings.
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Krass, Urte. The Portuguese Restoration of 1640 and Its Global Visualization. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463725637.
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The Portuguese Restoration of 1640 ended the dynastic union of Portugal and Spain. This book pioneers in reconstructing the global image discourse related to the event by bringing together visualizations from three decades and four continents. These include paintings, engravings, a statue, coins, emblems, miniatures, a miraculous crosier and other regalia, buildings, textiles, a castrum doloris, drawings, and ivory statues. Situated within the academic field of visual studies, the book interrogates the role of images and depictions before, during, and after the overthrow and how they functioned within the intercontinental communication processes in the Portuguese Empire. The results challenge the conventional notion of center and periphery and reveal unforeseen entanglements as well as an unexpected agency of imagery from the remotest regions under Portuguese control. The book breaks new ground in linking the field of early modern political iconography with transcultural art history and visual studies.
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Leskinen, Maria V., та Eugeny A. Yablokov, ред. All men and beasts, lions, eagles, quails… Anthropomorphic and Zoomorphic Representations of Nations and States in Slavic Сultural Discourse. Institute of Slavic Studies, Russian Academy of Sciences, 2020. http://dx.doi.org/10.31168/0441-1.
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The book was compiled on the materials of the scientific conference “Anthropomorphic and zoomorphic representations of nations and states in the Slavic cultural discourse” (2019), held at the Institute of Slavic Studies of the Russian Academy of Sciences (Moscow) and devoted to the history of the nations’ personifications and generalized ethnic images in period of “imagined communities” formation. This process is reconstructing on verbal and visual sources and by methods of various disciplines. The historical evolution of such zoomorphic incarnations of nations as an Eagle (in the Polish patriotic poetry of the first third of the 19th cent), a Falcon (in the South Slavic and Czech cultures in the 19th cent), a Griffin (during the formation of the Cassubian ethnocultural identity) is considered. The animalistic national representations in the Estonian caricature of the interwar twenty years of the 20th cent., so as the functioning of the Bear’s allegory as a symbol of Russia in modern Russian souvenir products are analyzed. The originality of zoomorphic symbolism in Polish and Soviet cultures is shown оn the examples of para- and metaheraldic images in XXth cent. The transformation of the verbal and visual images of “Mother Russia” personifications in Russian Empire was reconstructed. The evolution of various allegories of ethnic “Self” and “Others” is presented by caricatures of 19th – 20th cent. in Slovenian periodic and in Russian “Satyricon” journal (1914–1918).
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Athanassaki, Lucia, and Frances Titchener, eds. Plutarch's Cities. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192859914.001.0001.
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This volume is the first comprehensive attempt to assess the significance of the polis in Plutarch’s works from several perspectives, namely the polis as a physical entity, a lived experience and a source of inspiration, the polis as a historical and sociopolitical unit, the polis as a theoretical construct and paradigm to think with. The book’s multifocal and multi-perspectival examination of Plutarch’s cities—past and present, real and ideal—yields some remarkable corrections of his conventional image. Plutarch was neither an antiquarian nor a philosopher of the desk. He was not oblivious to his surroundings but had a keen interest in painting, sculpture, monuments, and inscriptions, about which he acquired impressive knowledge in order to help him understand and reconstruct the past. Cult and ritual proved equally fertile for Plutarch’s visual imagination. Whereas historiography was the backbone of his reconstruction of the past and evaluation of the present, material culture, cult, and ritual were also sources of inspiration to enliven past and present alike. Plato’s descriptions of Athenian houses and the Attic landscape were also a source of inspiration, but Plutarch clearly did his own research, based on autopsy and on oral and written sources. Plutarch, Plato’s disciple and Apollo’s priest, was on balance a pragmatist. He did not resist the temptation to contemplate the ideal city, but he wrote much more about real cities, as he experienced or imagined them.
Book chapters on the topic "Visual image reconstruction"
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Huck, Friedrich O., Carl L. Fales, and Zia-ur Rahman. "Image Gathering and Reconstruction." In Visual Communication. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2568-1_2.
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Zachariah, Anagha, Sandeep Kumar Satapathy, and Shruti Mishra. "Visual Image Reconstruction Using fMRI Analysis." In Reconnoitering the Landscape of Edge Intelligence in Healthcare. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003401841-14.
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Bruzzone, E., G. Garibotto, and F. Mangili. "Three-Dimensional Surface Reconstruction Using Delaunay Triangulation in the Image Plane." In Visual Form. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0715-8_11.
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Prades, Albert, and Jorge Núñez. "Improving Astrometric Measurements Using Image Reconstruction." In Visual Double Stars: Formation, Dynamics and Evolutionary Tracks. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1477-3_3.
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Nakai, Hiroyuki, Shuhei Yamamoto, Yasuhiro Ueda, and Yoshihide Shigeyama. "High Resolution and High Dynamic Range Image Reconstruction from Differently Exposed Images." In Advances in Visual Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_70.
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Li, Hongsong, Ting Song, Zehuan Wu, Jiandong Ma, and Gangyi Ding. "Reconstruction of a Complex Mirror Surface from a Single Image." In Advances in Visual Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_38.
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Jin, Ge, Sang-Joon Lee, James K. Hahn, Steven Bielamowicz, Rajat Mittal, and Raymond Walsh. "3D Surface Reconstruction and Registration for Image Guided Medialization Laryngoplasty." In Advances in Visual Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919476_76.
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Hou, Meng. "Visual Reconstruction Design Based on Image Technology Emotion." In Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2092-1_23.
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Yuan, Xin’an, Wei Li, Jianming Zhao, Xiaokang Yin, Xiao Li, and Jianchao Zhao. "Visual Reconstruction of Irregular Crack in Austenitic Stainless Steel Based on ACFM Technique." In Recent Development of Alternating Current Field Measurement Combine with New Technology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4224-0_6.
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AbstractFor the advantages of corrosion resistance, high toughness and plasticity, the austenitic stainless steel is widely used in the petrochemical special equipment and offshore structure. The austenitic stainless steel usually services in high temperature, high pressure and corrosive medium environment. Various types of irregular cracks are easily introduced in the surface of the austenitic stainless steel, which threats the safety of the structure. Due to the property of non-magnetic, weak conductivity and coarse grain, it is still a challenge to detect and evaluate irregular cracks in the austenitic stainless steel using the nondestructive testing (NDT) method. The visual reconstruction method is presented to detect and evaluate the irregular crack in the austenitic stainless steel based on the alternating current field measurement (ACFM) technique. The austenitic stainless steel irregular crack ACFM finite element simulation model is set up. The distorted electromagnetic field around the irregular crack is analyzed. The vertical direction magnetic field (Magnetic field perpendicular to specimen, called Bz) image gradient field visual reconstruction method is presented to reconstruct the surface profile of the irregular crack. The irregular crack testing experiments are carried out to verify the efficiency of the visual reconstruction method. The results show that the current field induced by the ACFM probe gathers at the tips of the irregular crack in the austenitic stainless steel. The gathered current makes the vertical direction magnetic field Bz distorted. The Bz image gradient field can reflect the location of the gathered current. The surface profile of the irregular crack can be imaged visually and evaluated accurately by the Bz image gradient field visual reconstruction method.
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Damiand, Guillaume, and David Coeurjolly. "A Generic and Parallel Algorithm for 2D Image Discrete Contour Reconstruction." In Advances in Visual Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_78.
Full textConference papers on the topic "Visual image reconstruction"
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Vaezi, Matt M., Behnam Bavarian, and Glenn Healey. "Image reconstruction of IDS filter response." In Visual Communications, '91, Boston, MA, edited by Kou-Hu Tzou and Toshio Koga. SPIE, 1991. http://dx.doi.org/10.1117/12.50350.
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Tian, Qi, Like Zhang, and Jingsheng Ma. "Voting based object boundary reconstruction." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.633444.
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Guo, Weihong, and Wotao Yin. "EdgeCS: edge guided compressive sensing reconstruction." In Visual Communications and Image Processing 2010, edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, and Guo Wei. SPIE, 2010. http://dx.doi.org/10.1117/12.863354.
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Le Mestre, Gwenaelle, and Danielle Pele. "Trinocular image analysis for virtual frame reconstruction." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233198.
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Kim, Chul-Woo, HyoJoon Kim, and ChoongWoong Lee. "Image reconstruction through projection of wavelet coefficients." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233289.
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Sun, Xi, Ying Zheng, and Zengfu Wang. "Model-assisted face reconstruction based on binocular stereo." In Visual Communications and Image Processing 2010, edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, and Guo Wei. SPIE, 2010. http://dx.doi.org/10.1117/12.863269.
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Lin, Wen-Huei, Chin-Hsing Chen, and Jiann-Shu Lee. "Interpolation for 3D object reconstruction using wavelet transforms." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206645.
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Sdigui, A., G. Barta, and M. Benjelloun. "Three-dimensional object reconstruction from a monocular image." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.186026.
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Brites, Catarina, Vitor Gomes, Joao Ascenso, and Fernando Pereira. "Statistical reconstruction for predictive video coding." In 2014 Visual Communications and Image Processing (VCIP). IEEE, 2014. http://dx.doi.org/10.1109/vcip.2014.7051624.
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Tom, Brian C., and Aggelos K. Katsaggelos. "Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.186041.
Full textReports on the topic "Visual image reconstruction"
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Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3864.
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The article deals with the technology of visualizing fictional text (poetry) with the help of emoji symbols in the Emoji Maker platform that not only activates students’ thinking, but also develops creative attention, makes it possible to reproduce the meaning of poetry in a succinct way. The application of this technology has yielded the significance of introducing a computer being emoji in the study and mastering of literature is absolutely logical: an emoji, phenomenologically, logically and eidologically installed in the digital continuum, is separated from the natural language provided by (ethno)logy, and is implicitly embedded into (cosmo)logy. The technology application object is the text of the twentieth century Cuban poet José Ángel Buesa. The choice of poetry was dictated by the appeal to the most important function of emoji – the expression of feelings, emotions, and mood. It has been discovered that sensuality can reconstructed with the help of this type of meta-linguistic digital continuum. It is noted that during the emoji design in the Emoji Maker program, due to the technical limitations of the platform, it is possible to phenomenologize one’s own essential-empirical reconstruction of the lyrical image. Creating the image of the lyrical protagonist sign, it was sensible to apply knowledge in linguistics, philosophy of language, psychology, psycholinguistics, literary criticism. By constructing the sign, a special emphasis was placed on the facial emogram, which also plays an essential role in the transmission of a wide range of emotions, moods, feelings of the lyrical protagonist. Consequently, the Emoji Maker digital platform allowed to create a new model of digital presentation of fiction, especially considering the psychophysiological characteristics of the lyrical protagonist. Thus, the interpreting reader, using a specific digital toolkit – a visual iconic sign (smile) – reproduces the polylaterial metalinguistic multimodality of the sign meaning in fiction. The effectiveness of this approach is verified by the poly-functional emoji ousia, tested on texts of fiction.