Relevant bibliographies by topics / Reconstruction 2D

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

Academic literature on the topic 'Reconstruction 2D'

Author: Grafiati
Published: 25 January 2025
Last updated: 31 July 2025

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Journal articles on the topic "Reconstruction 2D"

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Van Houten, Elijah E. W., Sajad Ghazavi, Guillaume Fle, et al. "2D boundary-condition-free nonlinear inversion technique applied to optical shear vibration induced microelastography." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A246. http://dx.doi.org/10.1121/10.0027380.

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Optical microelastography (OME) has emerged as a new technique for quantifying cellular mechanical properties. However, accurately reconstructing viscoelastic properties at the microscale level from noisy 2D displacement fields remains a challenge. This study introduces a 2D boundary-condition-free nonlinear inversion (2D-NoBC-NLI) approach, addressing challenges of interpreting noisy data and deducing full-field 3D displacements from 2D measurements. OME requires vibrating the cell and mapping the shear modulus based on wave-induced displacements within the cell. The shear modulus distributio
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Wen, Mingyun, and Kyungeun Cho. "Object-Aware 3D Scene Reconstruction from Single 2D Images of Indoor Scenes." Mathematics 11, no. 2 (2023): 403. http://dx.doi.org/10.3390/math11020403.

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Recent studies have shown that deep learning achieves excellent performance in reconstructing 3D scenes from multiview images or videos. However, these reconstructions do not provide the identities of objects, and object identification is necessary for a scene to be functional in virtual reality or interactive applications. The objects in a scene reconstructed as one mesh are treated as a single object, rather than individual entities that can be interacted with or manipulated. Reconstructing an object-aware 3D scene from a single 2D image is challenging because the image conversion process fr
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Zhu, Linqi, Chong Zhang, Chaomo Zhang, et al. "Challenges and Prospects of Digital Core-Reconstruction Research." Geofluids 2019 (May 20, 2019): 1–29. http://dx.doi.org/10.1155/2019/7814180.

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The simulation of various rock properties based on three-dimensional digital cores plays an increasingly important role in oil and gas exploration and development. The accuracy of 3D digital core reconstruction is important for determining rock properties. In this paper, existing 3D digital core-reconstruction methods are divided into two categories: 3D digital cores based on physical experiments and 3D digital core stochastic reconstructions based on two-dimensional (2D) slices. Additionally, 2D slice-based digital core stochastic reconstruction techniques are classified into four types: a st
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Caruana, Matthew, and Joseph G. Vella. "3D Facial Reconstruction from 2D Portrait Imagery." Information & Security: An International Journal 47, no. 3 (2020): 328–40. http://dx.doi.org/10.11610/isij.4724.

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Marin, D., S. Ohrhallinger, and M. Wimmer. "SIGDT: 2D Curve Reconstruction." Computer Graphics Forum 41, no. 7 (2022): 25–36. http://dx.doi.org/10.1111/cgf.14654.

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V, PremaLatha, Dinesh Kumar Anguraj, and Nikhat Parveen. "Integrated Neural-Hybrid System for Efficient Tumor Detection and Object Reconstruction." Data and Metadata 4 (April 16, 2025): 850. https://doi.org/10.56294/dm2025850.

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In computer vision and robotics, reconstructing multi-view 3D images is essential for accurate object representation from 2D data. In the first study, optimised weights through Adaptive School of Fish Optimisation are combined with 2D and 3D networks to introduce a Residual Network-50 model for deep learning-based 3D image reconstruction. On the ShapeNet dataset, this method demonstrates superior accuracy (0.993), F-score (0.734), and IoU (99.3%). Using Concurrent Excited DenseNet (CED)for feature extraction and Attention-Dense GRUs for prediction, the second study introduces the Concurrent At
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Cardoen, Thorsten, Sam Leroux, and Pieter Simoens. "Iterative Online 3D Reconstruction from RGB Images." Sensors 22, no. 24 (2022): 9782. http://dx.doi.org/10.3390/s22249782.

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3D reconstruction is the computer vision task of reconstructing the 3D shape of an object from multiple 2D images. Most existing algorithms for this task are designed for offline settings, producing a single reconstruction from a batch of images taken from diverse viewpoints. Alongside reconstruction accuracy, additional considerations arise when 3D reconstructions are used in real-time processing pipelines for applications such as robot navigation or manipulation. In these cases, an accurate 3D reconstruction is already required while the data gathering is still in progress. In this paper, we
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Cygan, Szymon, and Adriana Specyalska. "Comparison of three methods for reconstructing 3D motion from 2D video recordings for low cost gait analysis systems." Polish Journal of Medical Physics and Engineering 27, no. 4 (2021): 271–77. http://dx.doi.org/10.2478/pjmpe-2021-0032.

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Abstract Purpose: The aim of this study was to quantify the accuracy of 3D trajectory reconstructions performed from two planar video recordings, using three different reconstruction methods. Additionally, the recordings were carried out using easily available equipment, like built-in cellphone cameras, making the methods suitable for low-cost applications. Methods: A setup for 3D motion tracking was constructed and used to acquire 2D video recordings subsequently used to reconstruct the 3D trajectories by 1) merging appropriate coordinates, 2) merging coordinates with proportional scaling, an
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Jiye, Ximen, and Shao Zhifeng. "Three-Dimensional Algebraic Reconstruction From Three Mutually Orthogonal Projections." Proceedings, annual meeting, Electron Microscopy Society of America 43 (August 1985): 306–7. http://dx.doi.org/10.1017/s0424820100118400.

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The classic reconstruction problem is that of reconstructing a 3D object from its 2D projections /1-5/. It is also well known that the principal difficulty in solving this problem in electron microscopy is that a very large number of independent projections are normally required. Recently it has been shown /3,4/ that if we restrict our attention to binary or Boolean objects, far fewer projections are needed in order to obtain an approximate solution. 2-dimensional solutions of ID projections were demonstrated using only four views and 3-dimensional reconstruction of 2D projections were obtaine
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Erlandsson, K., and S. E. Strand. "3D reconstruction for 2D PET." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 391, no. 2 (1997): 369–74. http://dx.doi.org/10.1016/s0168-9002(97)00321-5.

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Dissertations / Theses on the topic "Reconstruction 2D"

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Breton, Rodolphe. "Reconstruction inversible d'objets discrets 2D." Poitiers, 2003. http://www.theses.fr/2003POIT2305.

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Notre travail s'inscrit dans le cadre de la géométrie discrète, un domaine dans lequel les données manipulées sont discrètes. Ce domaine est souvent associé à celui de la géométrie euclidienne, plus classique. Il est possible de passer du modèle euclidien au modèle discret par une opération nommée discrétisation. L'opération réciproque est appellée reconstruction. Pour les besoins d'un logiciel de modélisation développé au laboratoire SIC, nous nous sommes attaché à réaliser une reconstruction de courbes discrètes standard 2D vérifiant des critères de réversibilité ß la discrétisation d'un obj
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Huang, Hui. "Efficient reconstruction of 2D images and 3D surfaces." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2821.

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The goal of this thesis is to gain a deep understanding of inverse problems arising from 2D image and 3D surface reconstruction, and to design effective techniques for solving them. Both computational and theoretical issues are studied and efficient numerical algorithms are proposed. The first part of this thesis is concerned with the recovery of 2D images, e.g., de-noising and de-blurring. We first consider implicit methods that involve solving linear systems at each iteration. An adaptive Huber regularization functional is used to select the most reasonable model and a global convergence r
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Henrichsen, Arne. "3D reconstruction and camera calibration from 2D images." Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/9725.

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Includes bibliographical references.<br>A 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of th
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Zhao, Yajie. "3D Human Face Reconstruction and 2D Appearance Synthesis." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/66.

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3D human face reconstruction has been an extensive research for decades due to its wide applications, such as animation, recognition and 3D-driven appearance synthesis. Although commodity depth sensors are widely available in recent years, image based face reconstruction are significantly valuable as images are much easier to access and store. In this dissertation, we first propose three image-based face reconstruction approaches according to different assumption of inputs. In the first approach, face geometry is extracted from multiple key frames of a video sequence with different head poses.
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Ren, Yuheng. "Implicit shape representation for 2D/3D tracking and reconstruction." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c70dc663-ee7c-4100-b492-3a85bf8640d1.

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This thesis develops and describes methods for real-time tracking, segmentation and 3-dimensional (3D) model acquisition, in the context of developing games for stroke patients that are rehabilitating at home. Real-time tracking and reconstruction of a stroke patient's feet, hands and the control objects that they are touching can enable not only the graphical visualization of the virtual avatar in the rehabilitation games, but also permits measurement of the patient's performs. Depth or combined colour and depth imagery from a Kinect sensor is used as input data. The 3D signed distance functi
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Li, Ci. "Automatic horse lameness detection through 2D to 3D reconstruction." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272126.

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Lameness is a condition that is difficult to treat in horses when discovered too late and is therefore a common cause for culling. Veterinarians often make a diagnosis based on their subjective experience. In this thesis, we investigate whether neural networks can do lameness detection of horses by using the 3D reconstructed model of the horses. We divide the problem into two parts. The first part is about the 3D model reconstruction of the horse in the videos and then we use neural networks to do lameness detection. We also perform experiments on human videos to test the generalization of our
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Rolland, Franck. "Représentation tridimensionnelle et reconstruction 3D à partir de coupes 2D." Phd thesis, Grenoble 1, 1991. http://tel.archives-ouvertes.fr/tel-00339648.

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L'objectif des travaux présentés dans ce mémoire est la représentation de formes tridimensionnelles ainsi que la reconstruction tridimensionnelle a partir de coupes sériées. Après avoir défini le cadre exact de la reconstruction tridimensionnelle a partir de coupes sériées, le premier chapitre analyse les différentes étapes et les méthodes généralement employées pour effectuer cette reconstruction. Les chapitre 2 et 3 s'attachent a la description et a la représentation de formes tant bidimensionnelles que tridimensionnelles. Le chapitre 3 developpe ainsi une methode de squelettisation tridimen
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Li, Yi. "Key issues of 2D/3D image reconstruction in electrical tomography." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489019.

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Dowell, Rachel J. (Rachel Jean). "Registration of 2D ultrasound images in preparation for 3D reconstruction." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10181.

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Cheng, Yuan 1971. "3D reconstruction from 2D images and applications to cell cytoskeleton." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88870.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, February 2001.<br>Includes bibliographical references (leaves 121-129).<br>Approaches to achieve three dimensional (3D) reconstruction from 2D images can be grouped into two categories: computer-vision-based reconstruction and tomographic reconstruction. By exploring both the differences and connections between these two types of reconstruction, the thesis attempts to develop a new technique that can be applied to 3D reconstruction of biological structures. Specific attention is given to the reconstruction
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Books on the topic "Reconstruction 2D"

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Reading the Skull: Advanced 2D Reconstruction. Taylor & Francis Group, 2023.

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Reading the Skull: Advanced 2D Reconstruction. CRC Press LLC, 2023.

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Book chapters on the topic "Reconstruction 2D"

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Stojanovski, David, Uxio Hermida, Marica Muffoletto, Pablo Lamata, Arian Beqiri, and Alberto Gomez. "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D Echo Views." In Simplifying Medical Ultrasound. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16902-1_9.

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AbstractAccurate geometric quantification of the human heart is a key step in the diagnosis of numerous cardiac diseases, and in the management of cardiac patients. Ultrasound imaging is the primary modality for cardiac imaging, however acquisition requires high operator skill, and its interpretation and analysis is difficult due to artifacts. Reconstructing cardiac anatomy in 3D can enable discovery of new biomarkers and make imaging less dependent on operator expertise, however most ultrasound systems only have 2D imaging capabilities. We propose both a simple alteration to the Pix2Vox++ net
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Tomaževič, Dejan, Boštjan Likar, and Franjo Pernuš. "Reconstruction-Based 3D/2D Image Registration." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11566489_29.

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Chan, Chee Fatt, Chee Keong Kwoh, Ming Yeong Teo, and Wan Sing Ng. "Tessellated Surface Reconstruction from 2D Contours." In Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10704282_33.

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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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Alvarez-Gutiérrez, Mariana Teresa, Aldo Rodrigo Mejía-Rodríguez, Ines Alejandro Cruz-Guerrero, and Edgar Román Arce-Santana. "3D Kidney Reconstruction from 2D Ultrasound Images." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30648-9_51.

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Platzer, Esther-S., Frank Deinzer, Dietrich Paulus, and Joachim Denzler. "3D Blood Flow Reconstruction from 2D Angiograms." In Informatik aktuell. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78640-5_58.

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Grellert, Marc, Markus Wacker, Jonas Bruschke, Daniel Beck, and Wolfgang Stille. "IDOVIR – A New Infrastructure for Documenting Paradata and Metadata of Virtual Reconstructions." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78590-0_9.

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AbstractIn the context of source-based virtual reconstructions and its underlying decision-making processes (paradata), there has been a long-time demand for documenting why a reconstruction was executed in a certain way, and presenting it in a comprehensible and public manner. Lacking documentation leads to a loss of knowledge and that the scientific nature of a reconstruction won’t be guaranteed anymore. Based on earlier prototypes, TU Darmstadt and HTW Dresden developed IDOVIR (Infrastructure for Documentation of Virtual Reconstructions) which enables the documentation of this kind of parad
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Weinmann, Martin. "A Brief Survey on 2D and 3D Feature Extraction." In Reconstruction and Analysis of 3D Scenes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_3.

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Bayro-Corrochano, Eduardo. "Neurocomputing for 2D Contour and 3D Surface Reconstruction." In Geometric Algebra Applications Vol. I. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74830-6_19.

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Liu, Feng, and Xiaoming Liu. "2D GANs Meet Unsupervised Single-View 3D Reconstruction." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19769-7_29.

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Conference papers on the topic "Reconstruction 2D"

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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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Makur, Anuran, Elchanan Mossel, and Yury Polyanskiy. "Reconstruction on 2D Regular Grids." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9518174.

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Zeng, Xiangyan, James Ervin Glover, Owen Hughes, and Henning Stahlberg. "3D reconstruction of 2D crystals." In the 49th Annual Southeast Regional Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2016039.2016084.

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Widanagamaachchi, W. N., and A. T. Dharmaratne. "3D Face Reconstruction from 2D Images." In 2008 Digital Image Computing: Techniques and Applications. IEEE, 2008. http://dx.doi.org/10.1109/dicta.2008.83.

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Tao, Christopher Siyuan. "3D Building Reconstruction Using 2D GANs." In 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT). IEEE, 2023. http://dx.doi.org/10.1109/iccect57938.2023.10141185.

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Vyakaranal, Shashidhara B., Akshata Hiremath, Inzamam Sayyed, et al. "2D Image Reconstruction using Differentiable Plasticity." In 2021 6th International Conference for Convergence in Technology (I2CT). IEEE, 2021. http://dx.doi.org/10.1109/i2ct51068.2021.9418086.

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Sediono, Wahju, and Andrian A. Lestari. "2D Image reconstruction of radar INDERA." In 2011 4th International Conference on Mechatronics (ICOM). IEEE, 2011. http://dx.doi.org/10.1109/icom.2011.5937155.

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Yan, Hua, Hui Dou, Guannan Chen, and Li Yao. "3D temperature field reconstruction based on the interpolation of 2D acoustic reconstructions." In Fifth International Conference on Machine Vision (ICMV 12), edited by Yulin Wang, Liansheng Tan, and Jianhong Zhou. SPIE, 2013. http://dx.doi.org/10.1117/12.2020948.

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Jing Sun, She Shang, and Jia-Dong Xu. "3D shape reconstruction from 2D ISAR measurements." In 2012 International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP). IEEE, 2012. http://dx.doi.org/10.1109/icwamtip.2012.6413431.

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Kamencay, Patrik, Martina Zachariasova, Robert Hudec, Miroslav Benco, and Roman Radil. "3D image reconstruction from 2D CT slices." In 2014 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2014). IEEE, 2014. http://dx.doi.org/10.1109/3dtv.2014.6874742.

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