Academic literature on the topic '2D-3D dimensional images'

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Journal articles on the topic "2D-3D dimensional images"

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Kim, Hyungsuk, Chang Hyun Yoo, Soo Bin Park, and Hyun Seok Song. "Difference in glenoid retroversion between two-dimensional axial computed tomography and three-dimensional reconstructed images." Clinics in Shoulder and Elbow 23, no. 2 (2020): 71–79. http://dx.doi.org/10.5397/cise.2020.00122.

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Background: The glenoid version of the shoulder joint correlates with the stability of the glenohumeral joint and the clinical results of total shoulder arthroplasty. We sought to analyze and compare the glenoid version measured by traditional axial two-dimensional (2D) computed tomography (CT) and three-dimensional (3D) reconstructed images at different levels.Methods: A total of 30 cases, including 15 male and 15 female patients, who underwent 3D shoulder CT imaging was randomly selected and matched by sex consecutively at one hospital. The angular difference between the scapular body axis a
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Sudjai, Narumol, Palanan Siriwanarangsun, Nittaya Lektrakul, et al. "Robustness of Radiomic Features: Two-Dimensional versus Three-Dimensional MRI-Based Feature Reproducibility in Lipomatous Soft-Tissue Tumors." Diagnostics 13, no. 2 (2023): 258. http://dx.doi.org/10.3390/diagnostics13020258.

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This retrospective study aimed to compare the intra- and inter-observer manual-segmentation variability in the feature reproducibility between two-dimensional (2D) and three-dimensional (3D) magnetic-resonance imaging (MRI)-based radiomic features. The study included patients with lipomatous soft-tissue tumors that were diagnosed with histopathology and underwent MRI scans. Tumor segmentation based on the 2D and 3D MRI images was performed by two observers to assess the intra- and inter-observer variability. In both the 2D and the 3D segmentations, the radiomic features were extracted from the
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Tulunoglu, Ozlem, Elcin Esenlik, Ayse Gulsen, and Ibrahim Tulunoglu. "A Comparison of Three-Dimensional and Two-Dimensional Cephalometric Evaluations of Children with Cleft Lip and Palate." European Journal of Dentistry 05, no. 04 (2011): 451–58. http://dx.doi.org/10.1055/s-0039-1698918.

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ABSTRACTObjectives: The aim of this retrospective study was to compare the consistency of orthodontic measurement performed on cephalometric films and 3D CT images of cleft lip and palate (CLP) patients. Methods: The study was conducted with 2D radiographs and 3D CT images of 9 boys and 6 girls aged 7-12 with CLP. 3D reconstructions were performed using MIMICS software. Results: Frontal analysis found statistical differences for all parameters except occlusal plane tilt (OcP-tilt) and McNamara analysis found statistical differences in 2D and 3D measurements for all parameters except ANS-Me and
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Takeuchi, Hironori, Kenji Matsuura, Tetsushi Ueta, and Tomohito Wada. "Development of a Support System for Recalling 3D Vision from a 2D Plane." Journal of Educational Multimedia and Hypermedia 32, no. 1 (2025): 5–34. https://doi.org/10.70725/014177zoxurj.

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Basketball tactical patterns are typically taught using tools such as 2D tactical boards. Rapid decision-making in a team depends on the ability to connect two-dimensional (2D) third-person positions with three-dimensional (3D) first-person perspectives. This study develops a support system that offers a virtual environment to enhance the efficient recall of 3D vision from a 2D board. The proposed system generates static or dynamic 3D visualizations based on 2D inputs. A total of 30 volunteers participated in this study and were randomly assigned to groups that received either 2D images, stati
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Gunasekaran, Ganesan, and Meenakshisundaram Venkatesan. "An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data." Journal of Intelligent Systems 29, no. 1 (2017): 100–109. http://dx.doi.org/10.1515/jisys-2017-0315.

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Abstract The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reco
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Yahanda, Alexander T., Timothy J. Goble, Peter T. Sylvester, et al. "Impact of 3-Dimensional Versus 2-Dimensional Image Distortion Correction on Stereotactic Neurosurgical Navigation Image Fusion Reliability for Images Acquired With Intraoperative Magnetic Resonance Imaging." Operative Neurosurgery 19, no. 5 (2020): 599–607. http://dx.doi.org/10.1093/ons/opaa152.

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Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI.
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Sun, Haoran. "A Review of 3D-2D Registration Methods and Applications based on Medical Images." Highlights in Science, Engineering and Technology 35 (April 11, 2023): 200–224. http://dx.doi.org/10.54097/hset.v35i.7055.

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The registration of preoperative three-dimensional (3D) medical images with intraoperative two-dimensional (2D) data is a key technology for image-guided radiotherapy, minimally invasive surgery, and interventional procedures. In this paper, we review 3D-2D registration methods using computed tomography (CT) and magnetic resonance imaging (MRI) as preoperative 3D images and ultrasound, X-ray, and visible light images as intraoperative 2D images. The 3D-2D registration techniques are classified into intensity-based, structure-based, and gradient-based according to the different registration fea
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Holzleitner, Iris J., Alex L. Jones, Kieran J. O’Shea, et al. "Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?" Adaptive Human Behavior and Physiology 7, no. 3 (2021): 209–19. http://dx.doi.org/10.1007/s40750-021-00170-8.

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Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D fa
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Esan, Dorcas Oladayo, Pius Adewale Owolawi, and Chunling Tu. "Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN." Journal of Information Systems and Informatics 6, no. 4 (2024): 2508–24. https://doi.org/10.51519/journalisi.v6i4.900.

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Generation of a 3-dimensional (3D)-based artistic image from a 2-dimensional (2D) image using a generative adversarial network (GAN) framework is challenging. Most existing artistic GAN-based frameworks lack robust algorithms lack suitable 3D data representations that can fit into GAN to produce high-quality 3D artistic images. To produce 3D artistic images from 2D image that considerably improves scalability and visual quality, this research integrates innovative variational autoencoder signed distance function, cycle generative adversarial network (VAE-SDFCycleGAN). The proposed method feeds
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Choi, Chang-Hyuk, Hee-Chan Kim, Daewon Kang, and Jun-Young Kim. "Comparative study of glenoid version and inclination using two-dimensional images from computed tomography and three-dimensional reconstructed bone models." Clinics in Shoulder and Elbow 23, no. 3 (2020): 119–24. http://dx.doi.org/10.5397/cise.2020.00220.

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Background: This study was performed to compare glenoid version and inclination measured using two-dimensional (2D) images from computed tomography (CT) scans or three-dimensional (3D) reconstructed bone models.Methods: Thirty patients who had undergone conventional CT scans were included. Two orthopedic surgeons measured glenoid version and inclination three times on 2D images from CT scans (2D measurement), and two other orthopedic surgeons performed the same measurements using 3D reconstructed bone models (3D measurement). The 3D-reconstructed bone models were acquired and measured with Mim
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Dissertations / Theses on the topic "2D-3D dimensional images"

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Kang, Xin, and 康欣. "Feature-based 2D-3D registration and 3D reconstruction from a limited number of images via statistical inference for image-guidedinterventions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B48079625.

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Traditional open interventions have been progressively replaced with minimally invasive techniques. Most notably, direct visual feedback is transitioned into indirect, image-based feedback, leading to the wide use of image-guided interventions (IGIs). One essential process of all IGIs is to align some 3D data with 2D images of patient through a procedure called 3D-2D registration during interventions to provide better guidance and richer information. When the 3D data is unavailable, a realistic 3D patient-speci_c model needs to be constructed from a few 2D images. The dominating methods
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Law, Kwok-wai Albert, and 羅國偉. "3D reconstruction of coronary artery and brain tumor from 2D medical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31245572.

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Usta, Fatma. "Image Processing Methods for Myocardial Scar Analysis from 3D Late-Gadolinium Enhanced Cardiac Magnetic Resonance Images." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37920.

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Myocardial scar, a non-viable tissue which occurs on the myocardium due to the insufficient blood supply to the heart muscle, is one of the leading causes of life-threatening heart disorders, including arrhythmias. Analysis of myocardial scar is important for predicting the risk of arrhythmia and locations of re-entrant circuits in patients’ hearts. For applications, such as computational modeling of cardiac electrophysiology aimed at stratifying patient risk for post-infarction arrhythmias, reconstruction of the intact geometry of scar is required. Currently, 2D multi-slice late gadolinium-e
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Ben, Abdallah Hamdi. "Inspection d'assemblages aéronautiques par vision 2D/3D en exploitant la maquette numérique et la pose estimée en temps réel Three-dimensional point cloud analysis for automatic inspection of complex aeronautical mechanical assemblies Automatic inspection of aeronautical mechanical assemblies by matching the 3D CAD model and real 2D images." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2020. http://www.theses.fr/2020EMAC0001.

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Cette thèse s'inscrit dans le contexte du développement d'outils numériques innovants au service de ce qui est communément désigné par Usine du Futur. Nos travaux de recherche ont été menés dans le cadre du laboratoire de recherche commun "Inspection 4.0" entre IMT Mines Albi/ICA et la Sté DIOTA spécialisée dans le développement d'outils numériques pour l'Industrie 4.0. Dans cette thèse, nous nous sommes intéressés au développement de systèmes exploitant des images 2D ou des nuages de points 3D pour l'inspection automatique d'assemblages mécaniques aéronautiques complexes (typiquement un moteu
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Bertin, Etienne. "Diagrammes de Voronoï 2D et 3D : applications en analyse d'images." Grenoble 1, 1994. http://tel.archives-ouvertes.fr/tel-00005078.

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Cette thèse est axée sur la coopération entre l'analyse d'images et la géométrie algorithmique sur la base des diagrammes de Voronoi et de Delaunay. Le propos de l'analyse d'images est la description du contenu d'une image, en vue de son interprétation et d'une prise de décision. La géométrie algorithmique quant à elle consiste à trouver des algorithmes efficaces en vue de résoudre des problèmes a caractère géométrique. Nous nous intéresserons ici au problème de représentation des images par des partitionnements plus ou moins complexes, adaptes ou non au contenu informatif des images. Parmi ce
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Minetto, Rodrigo 1983. "Reconhecimento de texto e rastreamento de objetos 2D/3D." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275708.

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Orientadores: Jorge Stolfi, Neucimar Jerônimo Leite<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-20T03:12:07Z (GMT). No. of bitstreams: 1 Minetto_Rodrigo_D.pdf: 35894128 bytes, checksum: 8a0e453fba7e6a9a02fb17a52fdbf878 (MD5) Previous issue date: 2012<br>Resumo: Nesta tese abordamos três problemas de visão computacional: (1) detecção e reconhecimento de objetos de texto planos em imagens de cenas reais; (2) rastreamento destes objetos de texto em vídeos digitais; e (3) o rastreamento de um objeto tridimensional rígido
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Carstens, Jacobus Everhardus. "Fast generation of digitally reconstructed radiographs for use in 2D-3D image registration." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1797.

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Driss, Khodja Kouider. "Etude expérimentale et modélisation de la fonction diélectrique des milieux inhomogènes 2D et 3D." Rouen, 1989. http://www.theses.fr/1989ROUES018.

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Pour prendre en compte la structure réelle des milieux inhomogènes, nous avons proposé une théorie de milieu effectif à 2D et 3D basée sur une procédure de renormalisation dans l'espace réel. Ces modèles utilisent la technique des blocs de Kadanoff. Dans un premier temps cette approche a été appliquée à des réseaux carrés générés par ordinateur dont les sites sont occupés aléatoirement pour une concentration donnée. Dans une deuxième étape nous avons appliqué cette procédure à des images réelles constituées de micrographies de microscopie électronique par transmission digitalisées puis binaris
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Hua, Xiaoben, and Yuxia Yang. "A Fusion Model For Enhancement of Range Images." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2203.

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In this thesis, we would like to present a new way to enhance the “depth map” image which is called as the fusion of depth images. The goal of our thesis is to try to enhance the “depth images” through a fusion of different classification methods. For that, we will use three similar but different methodologies, the Graph-Cut, Super-Pixel and Principal Component Analysis algorithms to solve the enhancement and output of our result. After that, we will compare the effect of the enhancement of our result with the original depth images. This result indicates the effectiveness of our methodology.<b
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Batagini, Nayara Cioffi. "Volumetria e parâmetros biomecânicos detectados pela Ultrassonografia 3D e 2D em aortas abdominais de pacientes com e sem aneurisma." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/5/5132/tde-06012017-105117/.

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INTRODUÇÃO: O diâmetro transverso máximo (DTM) de um aneurisma da aorta abdominal (AAA), a medida mais comumente utilizada para determinar quando uma intervenção cirúrgica está indicada nos portadores desta afecção, tem limitações e não reflete o exato risco de rotura. Parâmetros biomecânicos e morfológicos detectados pelo ultrassom (US) com propriedades tridimensionais (3D), podem ajudar a melhor entender o comportamento dos AAA e a determinar o melhor momento para o tratamento cirúrgico deste grupo de pacientes. OBJETIVOS: Verificar a capacidade e a viabilidade do ultrassom bidimensional (US
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Books on the topic "2D-3D dimensional images"

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Fleming, Roland W., and Daniel Holtmann-Rice. “Shape From Smear”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0017.

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Of the many mysteries of sensory perception, one of the greatest is surely our ability to see in three dimensions. While the world is 3D, the retinal images are 2D: So how does the brain work out the extra dimension? Under ordinary conditions, viewing the world with two eyes provides rich sources of information for inferring depths. However, we are also very good at working out 3D shape even from single, static photographs of objects. This chapter presents a novel illusion in which 2D patterns appear vividly 3D, revealing specific image information that the brain uses for inferring 3D shape, b
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Maniatis, Lydia M. Symmetry and Uprightness in Visually Perceived Forms. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0023.

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Why do some two-dimensional (2D) drawings look three-dimensional (3D)? The answer is because their projection on our retinas is consistent with a 3D percept that has a “better” shape and orientation than the 2D figure. Whenever a retinal projection is interpreted by the visual system as the projection of a surface that is not frontoparallel (i.e., not parallel to the retinal surface), then the retinal image will differ in shape from the source of the projection in (a) the sizes of its internal angles and/or (b) the relative extents of its surfaces. The latter differences arise because, when an
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Arcand, Kimberly, and Megan Watzke. Stars in Your Hand. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13800.001.0001.

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An illustrated guide to exploring the Universe in three dimensions. Astronomers have made remarkable discoveries about our Universe, despite their reliance on the flat projection, or 2D view, the sky has offered them. But now, drawing on the vast stores of data available from telescopes and observatories on the ground and in space, astronomers can now use visualization tools to explore the cosmos in 3D. In Stars in Your Hand, Kimberly Arcand and Megan Watzke offer an illustrated guide to exploring the Universe in three dimensions, with easy-to-follow instructions for creating models of stars a
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Book chapters on the topic "2D-3D dimensional images"

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Chung, Chih-Chung, Bo-Chi Chen, Te-Wei Tseng, and Yun-Tzu Lee. "The Slope Monitoring Using Embedded System with Optical-Thermal Image Fusion and Machine Learning." In Progress in Landslide Research and Technology, Volume 3 Issue 1, 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55120-8_12.

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AbstractTaiwan is at the junction of tectonic plates, with high mountainous terrain and abundant rainfall due to the rich moisture of the subtropical monsoon zone, which makes the already dangerous slopes even more unstable. By applying the digital camera measurement approach, with its moderate installation cost, high security, and mobility, it is possible to capture and monitor the hillside over an extended period, guaranteeing its stability. Photogrammetry is a recent technology that has gained popularity in many fields. Image analysis, achieved by capturing photographs, is a growing trend.
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Fang, Lu. "Plenoptic Reconstruction." In Advances in Computer Vision and Pattern Recognition. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6915-5_4.

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AbstractEmpowered by advanced plenoptic sensing systems, light-field imaging becomes one of the most extensively used methods for capturing 3D views of a scene. In contrast to the traditional input to a 3D graphics system, namely, scenes consisting of pre-defined geometric primitives with different materials and sets of lights, the input to a light field is only a set of 2D images which are informative and cost effective. Unfortunately, due to the limited sensor resolution, existing systems must balance the spatial and angular resolution, i.e., one can obtain dense sampling images in the spati
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Das, Dipnarayan, and Sumit Gupta. "A Novel Cross-Dimensional Image Processing Technique: Toward a 3D View of a 2D Image." In Recent Trends in Signal and Image Processing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6783-0_8.

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Zhou, Xiangrong, Takaaki Ito, Ryosuke Takayama, Song Wang, Takeshi Hara, and Hiroshi Fujita. "Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting." In Deep Learning and Data Labeling for Medical Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46976-8_12.

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Sabir, Aqsa, Rahat Hussain, Syed Farhan Alam Zaidi, et al. "Utilizing 360-Degree Images for Synthetic Data Generation in Construction Scenarios." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.70.

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Computer vision-based safety monitoring requires machine learning models trained on generalized datasets covering various viewpoints, surface properties, and lighting conditions. However, capturing high-quality and extensive datasets for some construction scenarios is challenging at real job sites due to the risky nature of construction scenarios. Previous methods have proposed synthetic data generation techniques involving 2D background randomization with virtual objects in game-based engines. While there has been extensive work on utilizing 360-degree images for various purposes, no study ha
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Sabir, Aqsa, Rahat Hussain, Syed Farhan Alam Zaidi, et al. "Utilizing 360-Degree Images for Synthetic Data Generation in Construction Scenarios." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.70.

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Computer vision-based safety monitoring requires machine learning models trained on generalized datasets covering various viewpoints, surface properties, and lighting conditions. However, capturing high-quality and extensive datasets for some construction scenarios is challenging at real job sites due to the risky nature of construction scenarios. Previous methods have proposed synthetic data generation techniques involving 2D background randomization with virtual objects in game-based engines. While there has been extensive work on utilizing 360-degree images for various purposes, no study ha
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Haryal, Prabhjyot kaur, and Punam Rattan. "An Efficient Technique to Perform 3D Visualization on Clinical Image Datasets." In Advances in Healthcare Information Systems and Administration. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1874-4.ch006.

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The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructin
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Antonijuan Tresens Marc and Kuester Falko. "Hybrid-Reality: Collaborative Biomedical Data Exploration Exploiting 2-D and 3-D Correspondence." In Studies in Health Technology and Informatics. IOS Press, 2004. https://doi.org/10.3233/978-1-60750-942-4-22.

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Doctors and radiologists are trained to infer and interpret three-dimensional information from two-dimensional images. Traditionally, they analyze sets of two-dimensional images obtained from imaging systems based on x-rays, computed tomography, and magnetic resonance. These images correspond to slices or projections to a single plane. With the resolution of the scanners increasing in all directions, so is the complexity of the data that can be used for diagnostic purposes. Using volume rendering techniques, massive stacks of image slices can be combined into a single image and important featu
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Barthakur, Manami, and Kandarpa Kumar Sarma. "Incorporation of Depth in Two Dimensional Video Captures." In Emerging Technologies in Intelligent Applications for Image and Video Processing. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9685-3.ch004.

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Stereoscopic vision in cameras is an interesting field of study. This type of vision is important in incorporation of depth in video images which is needed for the ability to measure distances of the object from the camera properly i.e. conversion of two dimensional video image into three dimensional video. In this chapter, some of the basic theoretical aspects of the methods for estimating depth in 2D video and the current state of research have been discussed. These methods are frequently used in the algorithms for estimating depth in the 2D to 3D video techniques. Some of the recent algorit
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Ferrari, Claudio, Stefano Berretti, and Alberto del Bimbo. "Single View 3D Face Reconstruction." In Recent Advances in 3D Imaging, Modeling, and Reconstruction. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-5294-9.ch010.

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3D face reconstruction from a single 2D image is a fundamental computer vision problem of extraordinary difficulty that dates back to the 1980s. Briefly, it is the task of recovering the three-dimensional geometry of a human face from a single RGB image. While the problem of automatically estimating the 3D structure of a generic scene from RGB images can be regarded as a general task, the particular morphology and non-rigid nature of human faces make it a challenging problem for which dedicated approaches are still currently studied. This chapter aims at providing an overview of the problem, i
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Conference papers on the topic "2D-3D dimensional images"

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Galliopoulou, Eirini C., Christopher Jones, Lawrence Coghlan, et al. "Creep Cavitation Imaging and Analysis in 9%Cr-1%Mo P91 Steels." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0219.

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Abstract The current research adopts a novel approach by integrating correlative microscopy and machine learning in order to study creep cavitation in an ex-service 9%Cr 1%Mo Grade 91 ferritic steel. This method allows for a detailed investigation of the early stages of the creep life, enabling identification of features most prone to damage such as precipitates and the ferritic crystal structure. The microscopy techniques encompass Scanning Electron Microscopy (SEM) imaging and Electron Back-scattered Diffraction (EBSD) imaging, providing insights into the two-dimensional distribution of cavi
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Yamamoto, Kenji. "3D reconstruction by holography and pseudo 3D perception by arial 2D image." In Three-Dimensional Imaging, Visualization, and Display 2025, edited by Xin Shen, Bahram Javidi, and Arun Anand. SPIE, 2025. https://doi.org/10.1117/12.3052860.

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Delchevalerie, Valentin, Benoit Frénay, and Alexandre Mayer. "From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images." In ESANN 2024. Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-73.

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Miller, Joel, Elizabeth Wenzel, and Martine Godfroy-Cooper. "ARSAD: An Augmented-Reality Spatial Auditory Display for Obstacle Avoidance during all Phases of Flight." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12746.

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Spatial disorientation (SD) and the subsequent loss of situation awareness (SA) remain critical for low-level helicopter flight in degraded visual environments (DVE). In modern helicopter cockpits, synthetic vision systems (SVSs) employing conventional non-conformal two-dimensional (2D), egocentric three-dimensional (3D) conformal symbology (CS) and LADAR/RADAR imagery support guidance and control, especially during operations in DVE. Although 3D CS can decrease pilot's workload, it can also produce attentional tunneling and may not provide maximally effective depiction of the environment arou
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Ding, Yuzhen, Jason Holmes, Baoxin Li, et al. "Patient-specific 3D CT Images Reconstruction from 2D KV images via Vision Transformer-based Deep-Learning." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.htu2d.2.

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The potential large setup uncertainties caused by limited-visibility kV images in proton machines urges a 3D-CT-reconstruction approach. A network with transformer blocks was developed and achieved a &lt;40HU MAE. The network was accurate and efficient.
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Angelis, Vinicius S., Jhonas O. de Sarro, Ahmed H. Dorrah, et al. "Multichromatic Curved Light Sheets for 2D and 3D Imaging and Holography." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.hm4c.7.

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Curved light sheets created from non-diffracting wave fields are explored envisioning the creation of two and three-dimensional images in homogeneous simple media. Applications include two and three-dimensional imaging, continuous-depth holography and volumetric displays, among others.
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Zhao, Yu, Munkh-Uchral Erdenebat, Ki-Chul Kwon, Seok-Hee Jeon, and Nam Kim. "Full-Color Holographic System Featuring Non-uniform Sampled 2D Images for Representation of Real 3D objects." In Digital Holography and Three-Dimensional Imaging. OSA, 2019. http://dx.doi.org/10.1364/dh.2019.w3a.30.

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Al-Juboori, Haider M. "Determining Multi-Features Characterizations of the Colliding Plasmas via Time Integrated Broadband Emission Imaging: Conceptual Design." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.th3a.8.

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The spatial, temporal, and semi-spectral imaging technique was developed for colliding plasma experiments in nanosecond-scale, which reveals 3D-slicing presentation of 2D-images with detailed information on atoms/ions distribution inside the stagnation layer, furthermore, the multi-view stereo algorithm, that reconstructs 3D geometry by using photo-consistency functions, was proposed which help give deep insight into complex dynamical features.
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Wei, Jian, Jiaqi Guo, Xiaoyuan Guo, Yong Jia, Qi Wang, and Shigang Wang. "Synchronous Gesture Interaction for Flat-Panel+Integral Imaging." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.w5a.8.

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A method of gesture interaction for simultaneous flat-panel and integral imaging is proposed. It supports synchronously adjusting the viewpoint or scale of the 2D and naked-eye 3D images via viewer’s gestures, by exploiting the high efficiency of NVIDIA Optix in ray casting and Leap Motion in gesture recognition.
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Erdenebat, Munkh-Uchral, Anar Khuderchuluun, Nyamsuren Darkhanbaatar, et al. "Liquid-Crystalline Lens Array-Based 3D/2D Switchable Augmented Reality Display System Using One-Shot Learning Model." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/3d.2023.dw4a.5.

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An advanced three-dimensional/two-dimensional switchable augmented-reality system is proposed. A camera captures the images of real objects, and it is displayed as it is or the elemental image array generated from a captured image and estimated depth information via a one-shot learning model, is reconstructed by a liquid-crystalline lens array.
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