Relevant bibliographies by topics / 2D Images - 3D Models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic '2D Images - 3D Models'

Author: Grafiati
Published: 13 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "2D Images - 3D Models"

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Zheng, Lin, Wang Chenghao, Li Zichao, Wang Zhuoyue, Liu Xinqi, and Zhu Yue. "Neural Radiance Fields Convert 2D to 3D Texture." Applied Science and Biotechnology Journal for Advanced Research 3, no. 3 (2024): 40–44. https://doi.org/10.5281/zenodo.12200107.

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The objective of our project is to capture pictures or videos by surrounding a circle of objects, such as chairs, tables, cars, and more.[1]Utilizing advanced 3D reconstruction technology, we aim to generate 3D models of these captured objects. Post reconstruction, these 3D models can be edited through an intuitive interface, enabling users to apply different textures and make other modifications. This project has significant applications in various domains such as home decoration, vehicle customization, and beyond. For the 3D reconstruction in this project, we employed Nvidia's latest ngp-ins
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Yang, Guangjie, Aidi Gong, Pei Nie, et al. "Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma." Molecular Imaging 18 (January 1, 2019): 153601211988316. http://dx.doi.org/10.1177/1536012119883161.

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Objective: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). Methods: We retrospectively enrolled 32 fpAMLs and 24 chRCCs. Texture features were extracted from 2D and 3D regions of interest in triphasic CT images. The 2D and 3D CTTA models were constructed with the least absolute shrinkage and selection operator algorithm and texture scores were calculated. The diagnostic performance of the 2D and 3D CTTA models was evaluated with
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Iyoho, Anthony E., Jonathan M. Young, Vladislav Volman, David A. Shelley, Laurel J. Ng, and Henry Wang. "3D Tibia Reconstruction Using 2D Computed Tomography Images." Military Medicine 184, Supplement_1 (2019): 621–26. http://dx.doi.org/10.1093/milmed/usy379.

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Abstract OBJECTIVE Skeletal stress fracture of the lower limbs remains a significant problem for the military. The objective of this study was to develop a subject-specific 3D reconstruction of the tibia using only a few CT images for the prediction of peak stresses and locations. METHODS Full bilateral tibial CT scans were recorded for 63 healthy college male participants. A 3D finite element (FE) model of the tibia for each subject was generated from standard CT cross-section data (i.e., 4%, 14%, 38%, and 66% of the tibial length) via a transformation matrix. The final reconstructed FE model
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García-Márquez, Marco A., Josue R. Martínez-Mireles, Jazmín Rodríguez-Flores, Arturo Austria-Cornejo, and Jorge A. Ruiz-Vanoye. "2D23D: 3D images from 2D images using statistical filters and color shading." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 3 (2024): 115–25. http://dx.doi.org/10.61467/2007.1558.2024.v15i3.521.

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Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created.
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Petre, Raluca-Diana, and Titus Zaharia. "3D Model-Based Semantic Categorization of Still Image 2D Objects." International Journal of Multimedia Data Engineering and Management 2, no. 4 (2011): 19–37. http://dx.doi.org/10.4018/jmdem.2011100102.

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Automatic classification and interpretation of objects present in 2D images is a key issue for various computer vision applications. In particular, when considering image/video, indexing, and retrieval applications, automatically labeling in a semantically pertinent manner/huge multimedia databases still remains a challenge. This paper examines the issue of still image object categorization. The objective is to associate semantic labels to the 2D objects present in natural images. The principle of the proposed approach consists of exploiting categorized 3D model repositories to identify unknow
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Avesta, Arman, Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M. Krumholz, and Sanjay Aneja. "Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation." Bioengineering 10, no. 2 (2023): 181. http://dx.doi.org/10.3390/bioengineering10020181.

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Deep-learning methods for auto-segmenting brain images either segment one slice of the image (2D), five consecutive slices of the image (2.5D), or an entire volume of the image (3D). Whether one approach is superior for auto-segmenting brain images is not known. We compared these three approaches (3D, 2.5D, and 2D) across three auto-segmentation models (capsule networks, UNets, and nnUNets) to segment brain structures. We used 3430 brain MRIs, acquired in a multi-institutional study, to train and test our models. We used the following performance metrics: segmentation accuracy, performance wit
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Osadchy, Margarita, David Jacobs, Ravi Ramamoorthi, and David Tucker. "Using specularities in comparing 3D models and 2D images." Computer Vision and Image Understanding 111, no. 3 (2008): 275–94. http://dx.doi.org/10.1016/j.cviu.2007.12.004.

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Li, Yu, Shaohua Li, and Bo Zhang. "Constructing of 3D Fluvial Reservoir Model Based on 2D Training Images." Applied Sciences 13, no. 13 (2023): 7497. http://dx.doi.org/10.3390/app13137497.

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Training images are important input parameters for multipoint geostatistical modeling, and training images that can portray 3D spatial correlations are required to construct 3D models. The 3D training images are usually obtained by unconditional simulation using algorithms such as object-based algorithms, and in some cases, it is difficult to obtain the 3D training images directly, so a series of modeling methods based on 2D training images for constructing 3D models has been formed. In this paper, a new modeling method is proposed by synthesizing the advantages of the previous methods. Taking
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Konkov, V. V., and A. B. Zamchalov. "Application of PyTorch3D and NERF Computer Vision Tools for Building a Point Cloud of a Three-Dimensional Model and Determining the Camera Position of Still Images in Space." Scientific Visualization 17, no. 1 (2025): 65–85. https://doi.org/10.26583/sv.17.1.06.

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Recently, computer graphics plays a key role in solving computer vision problems. The problem of converting 2D images into 3D models continues to be urgent, as it requires precise determination of camera position and construction of accurate 3D models of objects. Traditional methods are often limited in application and do not offer a comprehensive solution. This study examines the use of PyTorch3D and NERF libraries to determine the camera position in 3D space and create a 3D model of an object from a single 2D image. As a method of data preparation, a hardware and software system was used, in
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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 Images - 3D Models"

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Zhang, Yan. "Feature-based automatic registration of images with 2D and 3D models." Thesis, University of Central Lancashire, 2006. http://clok.uclan.ac.uk/21603/.

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Automatic image registration is the technique to align images in different coordinate systems to the same coordinate system which has found wide industrial applications for control automation and quality inspection. Focusing on the industrial applications where product models are available and transformations between models and images are global, this thesis presents the research works on two registration problems based on different features and different transformation models. The first image registration problem is a 2D/2D one with a 2D similarity transformation and based on geometric primit
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Stebbing, Richard. "Model-based segmentation methods for analysis of 2D and 3D ultrasound images and sequences." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:f0e855ca-5ed9-4e40-994c-9b470d5594bf.

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This thesis describes extensions to 2D and 3D model-based segmentation algorithms for the analysis of ultrasound images and sequences. Starting from a common 2D+t "track-to-last" algorithm, it is shown that the typical method of searching for boundary candidates perpendicular to the model contour is unnecessary if, for each boundary candidate, its corresponding position on the model contour is optimised jointly with the model contour geometry. With this observation, two 2D+t segmentation algorithms, which accurately recover boundary displacements and are capable of segmenting arbitra
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Pelissier-Combescure, Marie. "Analyse de contenus visuels en 2D et en 3D : évaluation de la pertinence d'un point de vue d'un objet 3D." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP063.

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Dans notre monde tridimensionnel, les objets sont souvent représentés en deux dimensions, principalement visualisés à travers des supports 2D tels que des catalogues en papier ou des écrans d'ordinateur. La sélection du point de vue pour observer un objet en 3D sur un support 2D a un impact significatif sur son identification, la visualisation de ses caractéristiques et la compréhension de son utilité. Cette tâche est primordiale dans différents domaines applicatifs tels que les jeux vidéos, l'imagerie médicale, l'architecture et la conception industrielle.Cette thèse se penche sur la probléma
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López, Picazo Mirella. "3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666513.

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Osteoporosis is the most common bone disease, with a significant morbidity and mortality caused by the increase of bone fragility and susceptibility to fracture. Dual Energy X-ray Absorptiometry (DXA) is the gold standard technique for osteoporosis and fracture risk evaluation at the spine. However, the standard analysis of DXA images only provides 2D measurements and does not differentiate between bone compartments; neither specifically assess bone density in the vertebral body, which is where most of the osteoporotic fractures occur. Quantitative Computed Tomography (QCT) is an alternative t
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Wasswa, William. "3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/23777.

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Two-dimensional X-ray imaging is the dominant imaging modality in low-resource countries despite the existence of three-dimensional (3D) imaging modalities. This is because fewer hospitals in low-resource countries can afford the 3D imaging systems as their acquisition and operation costs are higher. However, 3D images are desirable in a range of clinical applications, for example surgical planning. The aim of this research was to develop a tool for 3D approximation of scapula bone from 2D X-ray images using landmark-constrained statistical shape model fitting. First, X-ray stereophotogrammetr
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Karlsson, Edlund Patrick. "Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9201.

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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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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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Truong, Michael Vi Nguyen. "2D-3D registration of cardiac images." Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/2d3d-registration-of-cardiac-images(afef93e6-228c-4bc7-aab0-94f1e1ecf006).html.

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This thesis describes two novel catheter-based 2D-3D cardiac image registration algorithms for overlaying preoperative 3D MR or CT data onto intraoperative fluoroscopy, and fusing electroanatomical data onto clinical images. The work is intended for use in cardiac catheterisation procedures. To fulfil this objective, the algorithms must be accurate, robust and minimally disruptive to the clinical workflow. The first algorithm relies on the catheterisation of vessels of the heart and registers by minimising a vessel-radius-weighted distance between the catheters and corresponding vessel centrel
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Jones, Jonathan-Lee. "2D and 3D segmentation of medical images." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.

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Cardiovascular disease is one of the leading causes of the morbidity and mortality in the western world today. Many different imaging modalities are in place today to diagnose and investigate cardiovascular diseases. Each of these, however, has strengths and weaknesses. There are different forms of noise and artifacts in each image modality that combine to make the field of medical image analysis both important and challenging. The aim of this thesis is develop a reliable method for segmentation of vessel structures in medical imaging, combining the expert knowledge of the user in such a way a
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Books on the topic "2D Images - 3D Models"

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Jones, Alun Gwyn. Recovering 3D shape from 2D images. University of Manchester, 1995.

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Bairstow, John E. N. Design modelling: Visualising ideas in 2D and 3D. Hodder & Stoughton, 1999.

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Süveg, Ildikó. Reconstruction of 3D building models from aerial images and maps. Netherlands Geodetic Commission, 2003.

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Edexcel, ed. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. Edexcel, 2001.

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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.

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Important Information Technology topics are presented: multimedia systems, data-bases, protection of data, access to the content. Particular reference is reserved to digital images (2D, 3D) regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The main parts of the Conference Proceedings regard: Strategic Issues, EC Projects and Related Networks &amp; Initiatives, International Forum on “Culture &amp; Technology”, 2D – 3D Technologies &amp; Applications, Virtual Galleries – Museums and Related Initiatives, Access to the Culture Information. Three Works
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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging &amp; the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Technologies &amp; Applications; New 2D-3D Technical Developments &amp; Applications; Virtual Galleries – Museums and Related Initiatives; Access to the Cult
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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging &amp; the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; EC Projects and Related Networks &amp; Initiatives; 2D - 3D Technologies and Applications; Virtual Galleries - Museums and Related Initiatives; Access to the Cul
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Nechaev, Vladimir, Andrey Shuba, Stanislav Gridnev, and Vitaliy Topolov. Dimensional effects in phase transitions and physical properties of ferroics. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1898400.

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The monograph presents mathematical methods and a set of mathematical models describing, within the framework of phenomenological theory, phase transitions in 0D-. 1D-, 2D-, 3D-dimensional ferroelectrics, ferroelastics, ferromagnets and their static and dynamic physical properties near the phase transition point. The influence of the parameters characterizing the ferroic sample and its interaction with the environment on the features of the phase transition, phase transition temperature shift, heat capacity, generalized susceptibilities is analyzed. Mathematical models of multilayer thin-film
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Garbi, Madalina. The general principles of echocardiography. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0001.

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Knowledge of basic ultrasound principles and current echocardiography technology features is essential for image interpretation and for optimal use of equipment during image acquisition and post-processing.Echocardiography uses ultrasound waves to generate images of cardiovascular structures and to display information regarding the blood flow through these structures.The present chapter starts by presenting the physics of ultrasound and the construction and function of instruments. Image formation, optimization, display, presentation, storage, and communication are explained. Advantages and di
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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 Images - 3D Models"

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Sándor, Viktória, Mathias Bank, Kristina Schinegger, and Stefan Rutzinger. "Collapsing Complexities: Encoding Multidimensional Architecture Models into Images." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_32.

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AbstractThe paper details a 3D to 2D encoding method, which can store complex digital 3D models of architecture within a single image. The proposed encoding works in combination with a point cloud notation and a sequential slicing operation where each slice of points is stored as a single row of pixels in the UV space of a 1024 × 1024 image. The performance of the notation system is compared between a StyleGan2 and existing image editing methods and evaluated through the production of new 3D models of houses with material attributes. The uncovered findings maintain the relatively high level of
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Xie, Xianghua, Si Yong Yeo, Majid Mirmehdi, Igor Sazonov, and Perumal Nithiarasu. "Image Gradient Based Level Set Methods in 2D and 3D." In Deformation Models. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5446-1_4.

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Ohkubo, Ryo, Ryo Kurazume, and Katsushi Ikeuchi. "Simultaneous Registration of 2D Images onto 3D Models for Texture Mapping." In Digitally Archiving Cultural Objects. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75807_13.

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Zhang, Hang, and Ye Huang. "Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_15.

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AbstractIn the past few years, more architects and engineers start thinking about the application of machine learning algorithms in the architectural design field such as building facades generation or floor plans generation, etc. However, due to the relatively slow development of 3D machine learning algorithms, 3D architecture form exploration through machine learning is still a difficult issue for architects. As a result, most of these applications are confined to the level of 2D. Based on the state-of-the-art 2D image generation algorithm, also the method of spatial sequence rules, this art
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Huo, Jianhui, Shijian Xu, Xi Chen, et al. "From Pixels to Shapes: Generative AI for 2D Images and 3D Models." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9815-8_9.

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Castillo, Myrna, Mahtab Dahaghin, Matteo Toso, and Alessio Del Bue. "Contrastive Gaussian Clustering for Weakly Supervised 3D Scene Segmentation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78347-0_8.

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Abstract3D scene segmentation is a crucial task in Computer Vision, with applications in autonomous driving, augmented reality, and robotics. Traditional methods often struggle to provide consistent and accurate segmentation across different viewpoints. To address this, we look at the growing field of novel view synthesis. Methods like NeRF and 3DGS take a set of images and implicitly learn a multi-view consistent representation of the geometry of the scene; the same strategy can be extended to learn a 3D segmentation of the scene that is consistent with the 2D segmentation of an initial train
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Brumana, R. "How to Measure Quality Models? Digitization into Informative Models Re-use." In 3D Research Challenges in Cultural Heritage III. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35593-6_5.

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Abstract3D models from passive muted subjects, often used in the books and in preservation design reports as powerful images dense of contents, have nowadays the opportunity to become 'live gears’ leveraging knowledge, interpretation, and management into preservation objectives till to better-informed fruition. To this aim, we need to build up reliable and re-usable 3D Quality models. How to shift from a 3D model toward a 3D quality model?This contribution intends to focus on the parameters defining a 3D Quality model catching the heritage complexity with its components in a holistic methodolo
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Xu, Chenfeng, Shijia Yang, Tomer Galanti, et al. "Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19836-6_36.

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Tilborghs, Sofie, Tom Dresselears, Piet Claus, Jan Bogaert, and Frederik Maes. "3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context." In Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39074-7_10.

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Votsis, George, Nicolas Tsapatsoulis, Kostas Karpouzis, and Stefanos Kollias. "A Simplified Representation of 3D Human Faces adapted from 2D Images." In Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_7.

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Conference papers on the topic "2D Images - 3D Models"

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Kadam, Anup, and Nikita Singhal. "Reconstruction of 2D Images into 3D Model." In 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2025. https://doi.org/10.1109/esci63694.2025.10987953.

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Chen, Qiuhui, Xuancheng Yao, Huping Ye, and Yi Hong. "Enhancing 3D Medical Image Understanding with 2D Multimodal Large Language Models." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889731.

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Chen, Huan-Yu, Chuen-Horng Lin, Yan-Yu Lin, and Yung-Kuan Chan. "An Integrated Model for Generating 3D Point Clouds and Segmentation from 2D Images." In 2024 8th International Conference on Imaging, Signal Processing and Communications (ICISPC). IEEE, 2024. http://dx.doi.org/10.1109/icispc63824.2024.00025.

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Yilmaz, Rüveyda, Kaan Keven, Yuli Wu, and Johannes Stegmaier. "Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981037.

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Li, Hao, Jiahui Zhao, and Daixuan Gu. "HoloDiT: Exploring 3D Diffusion Transformer Models Using 2D Images." In GAIIS 2025: 2025 2nd International Conference on Generative Artificial Intelligence and Information Security. ACM, 2025. https://doi.org/10.1145/3728725.3728727.

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Li, Liang, Hanzi Wang, Tat-Jun Chin, David Suter, and Shusheng Zhang. "Retrieving 3D CAD models using 2D images with optimized weights." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5646952.

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Abreu de Souza, Mauren, Andriy Guilherme Krefer, Gustavo Benvenutti Borba, Tania Mezzadri Centeno, and Humberto Remigio Gamba. "Combining 3D models with 2D infrared images for medical applications." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7318876.

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Umarani, S. M., and P. Archana. "Computational Analysis of Respiratory Tract with 2D and 3D Models." In 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII). IEEE, 2018. http://dx.doi.org/10.1109/icbsii.2018.8524688.

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Yueh-Ling Lin and Mao-Jiun J. Wang. "Constructing 3D human model from 2D images." In EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5645897.

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Zhang, Dingwen, Junwei Han, Yang Yang, and Dong Huang. "Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.382.

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Reports on the topic "2D Images - 3D Models"

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Basri, Ronen, and Daphna Weinshall. Distance Metric between 3D Models and 2D Images for Recognition and Classification. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada260069.

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Arroyo, Marcos, Riccardo Rorato, Marco Previtali, and Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, 2021. http://dx.doi.org/10.20933/100001229.

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Contact rolling resistance is the most widely used method to incorporate particle shape effects in the discrete element method (DEM). The main reason for this is that such approach allows for using spherical particles hence offering substantial computational benefits compared to non-spherical DEM models. This paper shows how rolling resistance parameters for 3D DEM models can be easily calibrated with 2D sand grain images.
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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance o
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DE CUBBER, Ine, and Jos VAN ORSHOVEN. Unstandardized terminology complicates the communication about 2D and 3D spatial data models. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0273.

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Toutin, Th, R. Chénier, and Y. Carbonneau. 3D Models for High Resolution Images: Examples with Quickbird, IKONOS, and EROS. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219879.

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Paul, D., E. A. de Kemp, and M. R. St-Onge. Canada in 3D (C3D) the next generation view of the geology of Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331348.

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The Canada in 3D (C3D) National Geological Surveys Committee (NGSC) project web portal (https://canada3d.geosciences.ca/) is reported on in this video. A less than ten-minute video summarizes the vision, key purpose and goals of C3D with the portal development and highlights some use cases for mineral exploration with regional scale 2D and 3D maps and models. The portal represents the Phase -1 stage of development with a north of 60o bedrock compilation, query capability and numerous supporting internet links to GEM, TGI program and C3D publications, and the initial renderings of 3D models fro
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Blundell, S., and Philip Devine. Creation, transformation, and orientation adjustment of a building façade model for feature segmentation : transforming 3D building point cloud models into 2D georeferenced feature overlays. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/35115.

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Witzig, Andreas, Camilo Tello, Franziska Schranz, Johannes Bruderer, and Matthias Haase. Quantifying energy-saving measures in office buildings by simulation in 2D cross sections. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541623658.

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A methodology is presented to analyse the thermal behaviour of buildings with the goal to quantify energy saving measures. The solid structure of the building is modelled with finite elements to fully account for its ability to store energy and to accurately predict heat loss through thermal bridges. Air flow in the rooms is approximated by a lumped element model with three dynamical nodes per room. The dynamic model also contains the control algorithm for the HVAC system and predicts the net primary energy consumption for heating and cooling of the building for any time period. The new simula
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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, et al. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4411.

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The objective of the research is development a mobile application (on the Android platform) designed for visualization of the Solar System with the AR technology and the alphabet study, applying the astronomic definitions, which can be used by the teacher and the students for an effective training for studying the subjects of the astronomic cycle in primary school. Augmented Reality cards with the images of the Solar System planets and other celestial bodies were developed, as well as the “Space alphabet” was created. In the developed alphabet every letter of the alphabet becomes a certain cel
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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the ver
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