Relevant bibliographies by topics / 3D Shape Matching

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic '3D Shape Matching'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "3D Shape Matching"

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Avagyan, Vahram, Armen Zakarian, and Pravansu Mohanty. "Scanned Three-Dimensional Model Matching and Comparison Algorithms for Manufacturing Applications." Journal of Manufacturing Science and Engineering 129, no. 1 (2006): 190–201. http://dx.doi.org/10.1115/1.2375139.

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In recent years the increased use of 3D scanning hardware has introduced a new type of data to the design and manufacturing field. In many design and manufacturing applications (e.g., part refurbishing or remanufacturing) a scanned 3D model may be provided as an input to a shape matching system to search the database for related or identical models with the purpose of extracting useful information. The introduction of scanned 3D models restricts the use of the CAD-based 3D model search and comparison methods due to significant differences in model representations. The CAD models provide struct
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Bai, Xiang, Song Bai, Zhuotun Zhu, and Longin Jan Latecki. "3D Shape Matching via Two Layer Coding." IEEE Transactions on Pattern Analysis and Machine Intelligence 37, no. 12 (2015): 2361–73. http://dx.doi.org/10.1109/tpami.2015.2424863.

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Arhid, K., F. R. Zakani, M. Bouksim, B. Sirbal, M. Aboulfatah, and T. Gad. "A novel approach for partial shape matching and similarity based on data envelopment analysis." Computer Optics 43, no. 2 (2019): 316–23. http://dx.doi.org/10.18287/2412-6179-2019-43-2-316-323.

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Due to the growing number of 3D objects in digital libraries, the task of searching and browsing models in an extensive 3D database has been the focus of considerable research in the area. In the last decade, several approaches to retrieve 3D models based on shape similarity have been proposed. The majority of the existing methods addresses the problem of similarity between objects as a global matching problem. Consequently, most of these techniques do not support a part of the object as a query, in addition to their poor performance for classes with globally non-similar shape models and also
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Langenfeld, Peng, Lai, et al. "SHREC 2020: Multi-domain protein shape retrieval challenge." Computer & Graphics 91 (July 15, 2020): 189–98. https://doi.org/10.1016/j.cag.2020.07.013.

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Proteins are natural modular objects usually composed of several domains, each domain bearing a spe- cific function that is mediated through its surface, which is accessible to vicinal molecules. This draws attention to an understudied characteristic of protein structures: surface, that is mostly unexploited by protein structure comparison methods. In the present work, we evaluated the performance of six shape comparison methods, among which three are based on machine learning, to distinguish between 588 multi-domain proteins and to recreate the evolutionary relationships at the protein and sp
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Zhu, Geng Ming, and Xiao Fei Zhou. "3D Reconstruction and Analysis Base on Shape Matching." Applied Mechanics and Materials 380-384 (August 2013): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1868.

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The article presents an approach to the three-dimensional reconstruction of vertebral column based on shape matching. Technique is established on the basis of marching cubes algorithm, through the rotated transformation and perspective projection toward every 3D model of vertebration, the projection drawing which is similar to the corresponding vertebration in the computed tomography is formed. Then, through the matching of the projection drawing and the corresponding vertebration in the CT, we can obtain the experimental result by adjust rotation parameters according to the matching outcome.
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Vergeest, Joris S. M., Sander Spanjaard, Imre Horva´th, and Jos J. O. Jelier. "Fitting Freeform Shape Patterns to Scanned 3D Objects." Journal of Computing and Information Science in Engineering 1, no. 3 (2001): 218–24. http://dx.doi.org/10.1115/1.1419197.

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This paper describes a new approach to locate freeform shape patterns in measured point data and to fit their parameter values. The method is based on the direct matching of parameterized shape templates to digitized points. For a given class of feature, the optimal pose and the optimal intrinsic shape parameters are determined. Although this principle was previously used in digital image processing and also for fitting of regular shaped features, it has rarely been applied in 3D to freeform features. Yet, several engineering applications may profit from improved feature fitting. The motivatio
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Attene, M., S. Marini, M. Spagnuolo, and B. Falcidieno. "Part-in-whole 3D shape matching and docking." Visual Computer 27, no. 11 (2011): 991–1004. http://dx.doi.org/10.1007/s00371-011-0622-7.

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Koutsoudis, Anestis, and Christodoulos Chamzas. "3D pottery shape matching using depth map images." Journal of Cultural Heritage 12, no. 2 (2011): 128–33. http://dx.doi.org/10.1016/j.culher.2010.12.003.

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Sun, Xiao-Peng, Si-Hui Li, Feng Han та Xiao-Peng Wei. "3D Ear Shape Matching Using Joint α-Entropy". Journal of Computer Science and Technology 30, № 3 (2015): 565–77. http://dx.doi.org/10.1007/s11390-015-1546-x.

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Du, Guo-Guang, Cong-Li Yin, Ming-Quan Zhou, et al. "Isometric 3D Shape Partial Matching Using GD-DNA." Journal of Computer Science and Technology 33, no. 6 (2018): 1178–91. http://dx.doi.org/10.1007/s11390-018-1880-x.

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Dissertations / Theses on the topic "3D Shape Matching"

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Tabia, Hedi. "Contributions to 3D-shape matching, retrieval and classification." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2011. http://tel.archives-ouvertes.fr/tel-00818224.

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Une nouvelle approche pour la mise en correspondance des objets 3D en présence des transformations non-rigides et des modèles partiellement similaires est proposée dans le cadre de cette thèse. L'approche est composée de deux phases. Une première phase pour la description d'objets et une deuxième phase de mesure de similarité. Pour décrire un objet 3D, nous avons choisi une méthode basée sur des descripteurs locaux. La méthode consiste à extraire d'un objet 3D un ensemble de points caractéristiques pour lesquels deux descripteurs locaux sont calculés. Le premier descripteur Geodesic cord descr
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Rodolà, Emanuele <1984&gt. "Sparse and robust matching problem for 3D shape analysis." Doctoral thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/1233.

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In questa tesi affrontiamo diversi aspetti del dilagante problema della corrispondenza nella Visione Artificiale. I nostri risultati principali traggono vantaggio da sviluppi recenti nel campo emergente dei metodi basati sulla Teoria dei Giochi in Machine Learning e Pattern Recognition, che adattiamo in un framework più generale. Tale framework è sufficientemente flessibile da gestire problemi di corrispondenza piuttosto specifici che comunemente si incontrano nelle aree della ricostruzione tridimensionale e di shape analysis. Il nostro metodo viene applicato a diversi scenari e altrettanti do
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Sipiran, Mendoza Iván Anselmo. "Local features for shape matching and retrieval." Tesis, Universidad de Chile, 2014. http://www.repositorio.uchile.cl/handle/2250/115564.

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Los modelos tridimensionales son útiles para representar objetos reales en el mundo digital. Su uso se encuentra en muchas aplicaciones tales como medicina, ingeniería, seguridad y otros. Recientemente, la introducción de dispositivos de captura baratos ha incrementado el interés por este tipo de información, generando una gran cantidad de modelos disponibles en diferentes lugares. Por lo tanto, es imperativo proveer algorithmos efectivos y eficientes para procesar y analizar datos 3D. La evaluación de similitud de modelos 3D es una tarea importante que puede ser útil para procesos de alto ni
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Liu, Chi Hin. "Structured lighting 3D reconstruction and 3D shape matching of human model for garment industries /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?MECH%202006%20LIUC.

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Mellado, Nicolas. "Analysis of 3D objects at multiple scales : application to shape matching." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14685/document.

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Depuis quelques années, l’évolution des techniques d’acquisition a entraîné une généralisation de l’utilisation d’objets 3D très dense, représentés par des nuages de points de plusieurs millions de sommets. Au vu de la complexité de ces données, il est souvent nécessaire de les analyser pour en extraire les structures les plus pertinentes, potentiellement définies à plusieurs échelles. Parmi les nombreuses méthodes traditionnellement utilisées pour analyser des signaux numériques, l’analyse dite scale-space est aujourd’hui un standard pour l’étude des courbes et des images. Cependant, son adap
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Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the other hand does not suffer from these limitations. An important paradigm of recognition is model-based whereby 3D models of objects are constructed offline and saved in a database, using a suitable representation. During online recognition, a similar representation of a scene is matched with the database for recognizing objects present in the scene . .
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Sundararaman, Ramana. "Analysis of large scale 3D shape collection with learning based approaches." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAX023.

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La robotique, l’imagerie médicale et la conception numérique s’appuient de plus en plus sur l’analyse de formes 3D pour des tâches comme la correspondance, la reconstruction et la modélisation générative. Alors que l’optimisation géométrique dominait autrefois, l’essor de l’apprentissage profond a réorienté l’intérêt vers l’extraction de caractéristiques guidée par les données. Pourtant, les méthodes actuelles restent limitées par leur dépendance aux données supervisées, leur sensibilité au bruit et leur généralisation limitée entre différentes catégories de formes.Cette thèse propose des solu
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Naffouti, Seif Eddine. "Reconnaissance et correspondance de formes 3D pour des systèmes intelligents de vision par ordinateur." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCK033/document.

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Cette thèse porte sur la reconnaissance et l’appariement de formes 3D pour des systèmes intelligents de vision par ordinateur. Elle décrit deux contributions principales à ce domaine. La première contribution est une implémentation d'un nouveau descripteur de formes construit à la base de la géométrie spectrale de l'opérateur de Laplace-Beltrami ; nous proposons une signature de point globale avancée (AGPS). Ce descripteur exploite la structure intrinsèque de l'objet et organise ses informations de manière efficace. De plus, AGPS est extrêmement compact puisque seulement quelques paires propre
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Deák, Jaromír. "Registrace fotografií do 3D modelu terénu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363795.

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This work refers existing solutions and options for the task registration of photos to 3D model based on the previous knowledge of the geographic position of the camera. The contribution of the work are new ways and possibilities of the solution with the usage of graph algorithms. In this area, the work interests are useful points of interest detection in input data, a construction of graphs and graph matching possibilities.
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Baruzzi, Francesco. "Object detection in robot picking applications using 3d cameras." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22594/.

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This work relies on analysis and testing of two 3D cameras in robot picking applications. Continuous progress in microelectronics, micro optics and micro technology made 3D cameras affordable and competitive with respect to 2D cameras in common industrial and commercial applications. 3D cameras, in fact, could give advantages in terms of timing and performances in application involving objects normally processed with 2D cameras. These cameras are intrinsically different in the technology used and provide mono/color images, depth maps and point clouds. First camera considered, Intel RealSense D
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Books on the topic "3D Shape Matching"

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Mercati, Flavio. A derivation of Shape Dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0009.

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By applying the principles of relational field theory to the gravitational field, and using 3D diffeomorphism invariance as our symmetry principle for best matching, it is feasible to reduce the working possibilities to just a few cases. One is a field-theory version of (GR), which is the limit of General Relativity in which the speed of light goes to infinity and the light cones open up to provide a notion of absolute simultaneity. Another is the opposite limit, dubbed ‘Carrollian Relativity’ by Levy–Leblond, in which the speed of light goes to zero and each point is causally isolated from th
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Yiangou, Maria. My Shapes Book: Learn 2D and 3D Shapes Picture Book with Matching Objects. Ages 2-7 for Toddlers, Preschool and Kindergarten Kids. Independently Published, 2017.

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Book chapters on the topic "3D Shape Matching"

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Schmidt, Frank R., Thomas Windheuser, Ulrich Schlickewei, and Daniel Cremers. "Dense Elastic 3D Shape Matching." In Efficient Algorithms for Global Optimization Methods in Computer Vision. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54774-4_1.

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Biasotti, Silvia, Simone Marini, Michela Mortara, Giuseppe Patanè, Michela Spagnuolo, and Bianca Falcidieno. "3D Shape Matching through Topological Structures." In Discrete Geometry for Computer Imagery. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39966-7_18.

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Bustos, Benjamin, and Ivan Sipiran. "3D Shape Matching for Retrieval and Recognition." In 3D Imaging, Analysis and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44070-1_9.

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Bustos, Benjamin, and Ivan Sipiran. "3D Shape Matching for Retrieval and Recognition." In 3D Imaging, Analysis and Applications. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4063-4_7.

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Liu, Feng, Qijun Zhao, and David Zhang. "Fingerprint Pore Matching." In Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4128-5_10.

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Karmakar, Nilanjana, and Arindam Biswas. "Shape Matching of 3D Topologically Segmented Objects." In Computational Topology in Image Context. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39441-1_16.

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Bicego, Manuele, Stefano Danese, Simone Melzi, and Umberto Castellani. "A Bioinformatics Approach to 3D Shape Matching." In Computer Vision - ECCV 2014 Workshops. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16220-1_22.

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Lai, Zhaoqiang, and Jing Hua. "3D Surface Matching and Registration through Shape Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85990-1_6.

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Hirose, Naoto, Tatsuki Yasunobe, and Akira Kawanaka. "3D Shape Estimation Based on Sparsity in Stereo Matching." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_55.

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Sun, Xiaopeng, Wang Xingyue, Guan Wang, Feng Han, and Lu Wang. "3D Ear Shape Feature Optimal Matching Using Bipartite Graph." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7618-0_401.

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Conference papers on the topic "3D Shape Matching"

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Cao, Dongliang, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, and Florian Bernard. "Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00351.

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Peng Huang, J. Starck, and A. Hilton. "Temporal 3D shape matching." In IET 4th European Conference on Visual Media Production (CVMP 2007). IEE, 2007. http://dx.doi.org/10.1049/cp:20070036.

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Kazhdan, Michael, and Thomas Funkhouser. "Harmonic 3D shape matching." In ACM SIGGRAPH 2002 conference abstracts and applications. ACM Press, 2002. http://dx.doi.org/10.1145/1242073.1242204.

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Ehm, Viktoria, Paul Roetzer, Marvin Eisenberger, Maolin Gao, Florian Bernard, and Daniel Cremers. "Geometrically Consistent Partial Shape Matching." In 2024 International Conference on 3D Vision (3DV). IEEE, 2024. http://dx.doi.org/10.1109/3dv62453.2024.00062.

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Chang, Ee Chien, Zhiyong Huang, Mohan S. Kankanhalli, and Rong Xu. "A 3D shape matching framework." In the 1st international conference. ACM Press, 2003. http://dx.doi.org/10.1145/604471.604530.

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ter Haar, Frank B., and Remco C. Veltkamp. "A 3D face matching framework." In 2008 IEEE International Conference on Shape Modeling and Applications (SMI). IEEE, 2008. http://dx.doi.org/10.1109/smi.2008.4547956.

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Ion, Adrian, Nicole M. Artner, Gabriel Peyre, Salvador B. Lopez Marmol, Walter G. Kropatsch, and Laurent Cohen. "3D shape matching by geodesic eccentricity." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563032.

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Kazhdan, Michael, Thomas Funkhouser, and Szymon Rusinkiewicz. "Symmetry descriptors and 3D shape matching." In the 2004 Eurographics/ACM SIGGRAPH symposium. ACM Press, 2004. http://dx.doi.org/10.1145/1057432.1057448.

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Yonghuai Liu, Longzhuang Li, and Baogang Wei. "3D shape matching using collinearity constraint." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1307402.

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Jones, Ben, April Martin, Joshua A. Levine, Tamar Shinar, and Adam W. Bargteil. "Ductile fracture for clustered shape matching." In I3D '16: Symposium on Interactive 3D Graphics and Games. ACM, 2016. http://dx.doi.org/10.1145/2856400.2856415.

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Reports on the topic "3D Shape Matching"

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Garcia Cardona, Cristina, Navamita Ray, Rao Garimella, and Eric Roginek. Shape Matching for 3D CAD Models for Hexahedral Meshing Workflows. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1881773.

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