1 Report on Shape Analysis and Matching and on Semantic Matching 2016-03-16
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[1] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[2] H. Wolfson,et al. Solving jigsaw puzzles by computer , 1988 .
[3] Tom Altman. Solving the JIGSAW puzzle problem in linear time , 1989, Appl. Artif. Intell..
[4] Paul LaFollette,et al. Isthmus critical points for solving jigsaw puzzles in computer vision , 1991, IEEE Trans. Syst. Man Cybern..
[5] Katsushi Ikeuchi,et al. The Complex EGI: A New Representation for 3-D Pose Determination , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Tarak Gandhi,et al. An automatic jigsaw puzzle solver , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[7] Leo Dorst,et al. Morphological signal processing and the slope transform , 1994, Signal Process..
[8] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[9] Leo Dorst,et al. Quadratic Structuring Functions in Mathematical Morphology , 1996, ISMM.
[10] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Margaret M. Fleck,et al. Jigsaw puzzle solver using shape and color , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).
[12] Andrew E. Johnson,et al. Surface Matching for Object Recognition in Complex 3-D Scenes , 1998 .
[13] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[14] Marc Rioux,et al. Description of shape information for 2-D and 3-D objects , 2000, Signal Process. Image Commun..
[15] Leo Dorst,et al. The Systems Theory of Contact , 2000, AFPAC.
[16] Herbert Edelsbrunner,et al. Topological persistence and simplification , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[17] Ron Kimmel,et al. Efficient Dilation, Erosion, Opening and Closing Algorithms , 2000, ISMM.
[18] Paul A. Viola,et al. Boosting Image Retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[19] Benjamin B. Kimia,et al. On solving 2D and 3D puzzles using curve matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[20] Marshall W. Bern,et al. A global approach to automatic solution of jigsaw puzzles , 2002, SCG '02.
[21] Michael Elad,et al. Content based retrieval of VRML objects: an iterative and interactive approach , 2002 .
[22] Georgios Papaioannou,et al. Reconstruction of Three-Dimensional Objects through Matching of Their Parts , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Titus B. Zaharia,et al. Shape-based retrieval of 3D mesh models , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.
[24] K. Kraus. PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCE FOR HERITAGE DOCUMENTATION , 2003 .
[25] Thomas S. Huang,et al. Relevance feedback in image retrieval: A comprehensive review , 2003, Multimedia Systems.
[26] Fenghui Yao,et al. A shape and image merging technique to solve jigsaw puzzles , 2003, Pattern Recognit. Lett..
[27] Ming Ouhyoung,et al. On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.
[28] Dejan V. Vranic,et al. 3D model retrieval , 2004 .
[29] Remco C. Veltkamp,et al. A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..
[30] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[31] Giovanna Sansoni,et al. Inspection, 3D modelling, and rapid prototyping of cultural heritage by means of a 3D optical digitiser , 2005, SPIE Optical Metrology.
[32] David Cohen-Steiner,et al. Stability of Persistence Diagrams , 2005, Discret. Comput. Geom..
[33] BENJAMIN BUSTOS,et al. Feature-based similarity search in 3D object databases , 2005, CSUR.
[34] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[35] R. Veltkamp,et al. SHREC 2007 3 D Shape Retrieval Contest , 2006 .
[36] H. Pottmann,et al. Reassembling fractured objects by geometric matching , 2006, SIGGRAPH 2006.
[37] Nikos Papamarkos,et al. A New Technique for Solving a Jigsaw Puzzle , 2006, 2006 International Conference on Image Processing.
[38] Paul Over,et al. Evaluation campaigns and TRECVid , 2006, MIR '06.
[39] Aytül Erçil,et al. A Texture Based Matching Approach for Automated Assembly of Puzzles , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[40] Daniel Cohen-Or,et al. Salient geometric features for partial shape matching and similarity , 2006, TOGS.
[41] Shi-Min Hu,et al. Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes , 2006, International Journal of Computer Vision.
[42] Matthieu Cord,et al. Feature-based approach to semi-supervised similarity learning , 2006, Pattern Recognit..
[43] Paolo Cignoni,et al. Using 3D Scanning to Analyze a Proposal for the Attribution of a Bronze Horse to Leonardo da Vinci , 2007, VAST.
[44] Daniel A. Keim,et al. Content-Based 3D Object Retrieval , 2007, IEEE Computer Graphics and Applications.
[45] Erik D. Demaine,et al. Jigsaw Puzzles, Edge Matching, and Polyomino Packing: Connections and Complexity , 2007, Graphs Comb..
[46] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[47] Marcel Worring,et al. Interactive Search by Direct Manipulation of Dissimilarity Space , 2007, IEEE Transactions on Multimedia.
[48] P. Rousopoulos,et al. Automated reconstruction of fragmented objects using their 3D representation - application to important archaeological finds , 2008, 2008 9th International Conference on Signal Processing.
[49] Klaus Hansen,et al. Solving jigsaw puzzles using image features , 2008, Pattern Recognit. Lett..
[50] Patrizio Frosini,et al. Natural Pseudo-Distance and Optimal Matching between Reduced Size Functions , 2008, ArXiv.
[51] Petros Daras,et al. Semantic force relevance feedback, content-free 3D object retrieval and annotation propagation: bridging the gap and beyond , 2008, Multimedia Tools and Applications.
[52] Umberto Castellani,et al. Sparse points matching by combining 3D mesh saliency with statistical descriptors , 2008, Comput. Graph. Forum.
[53] Jan-Michael Frahm,et al. 3D model matching with Viewpoint-Invariant Patches (VIP) , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[54] Indriyati Atmosukarto,et al. A Learning Approach to 3D Object Representation for Classification , 2008, SSPR/SPR.
[55] Tim Weyrich,et al. A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings , 2008, ACM Trans. Graph..
[56] D.B. Cooper,et al. Computational reconstruction of ancient artifacts , 2008, IEEE Signal Processing Magazine.
[57] Michela Spagnuolo,et al. 3D Media and the Semantic Web , 2009, IEEE Intelligent Systems.
[58] Leonidas J. Guibas,et al. A concise and provably informative multi-scale signature based on heat diffusion , 2009 .
[59] Paul Over,et al. High-level feature detection from video in TRECVid: a 5-year retrospective of achievements , 2009 .
[60] Eneko Agirre,et al. A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches , 2009, NAACL.
[61] Rasmus Larsen,et al. Shape Analysis Using the Auto Diffusion Function , 2009 .
[62] Nico Blodow,et al. Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[63] R. Horaud,et al. Surface feature detection and description with applications to mesh matching , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[64] Daniel Cohen-Or,et al. Contextual Part Analogies in 3D Objects , 2010, International Journal of Computer Vision.
[65] Mohamed Daoudi,et al. Partial 3D Shape Retrieval by Reeb Pattern Unfolding , 2009, Comput. Graph. Forum.
[66] Marco Attene,et al. Characterization of 3D shape parts for semantic annotation , 2009, Comput. Aided Des..
[67] Bülent Sankur,et al. Similarity Learning for 3D Object Retrieval Using Relevance Feedback and Risk Minimization , 2010, International Journal of Computer Vision.
[68] George Pavlidis,et al. 3D Pottery content-based retrieval based on pose normalisation and segmentation , 2010 .
[69] Xulei Wang,et al. Global and local isometry-invariant descriptor for 3D shape comparison and partial matching , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[70] Silvia Biasotti,et al. Shape comparison through mutual distances of real functions , 2010, 3DOR '10.
[71] Iasonas Kokkinos,et al. Scale-invariant heat kernel signatures for non-rigid shape recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[72] Zheng Qin,et al. A boosting method based on SVM for relevance feedback in content-based 3D model retrieval , 2010, The 2nd International Conference on Software Engineering and Data Mining.
[73] Georges Quénot,et al. TRECVID 2015 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics , 2011, TRECVID.
[74] Martin Kampel,et al. Proposing features for the reconstruction of marble plates of ephesos , 2010, 2010 16th International Conference on Virtual Systems and Multimedia.
[75] Tamal K. Dey,et al. Persistent Heat Signature for Pose‐oblivious Matching of Incomplete Models , 2010, Comput. Graph. Forum.
[76] Ghassan Hamarneh,et al. A Survey on Shape Correspondence , 2011, Comput. Graph. Forum.
[77] Hamid Laga. Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes , 2010, 3DOR@Eurographics.
[78] William T. Freeman,et al. A probabilistic image jigsaw puzzle solver , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[79] Daniela Giorgi,et al. 3D relevance feedback via multilevel relevance judgements , 2010, The Visual Computer.
[80] Patrick Reuter,et al. Semi-Automatic Geometry-Driven Reassembly of Fractured Archeological Objects , 2010, VAST.
[81] Prosenjit Bose,et al. A survey of geodesic paths on 3D surfaces , 2011, Comput. Geom..
[82] Marco Attene,et al. Part-in-whole 3D shape matching and docking , 2011, The Visual Computer.
[83] Leonidas J. Guibas,et al. Shape google: Geometric words and expressions for invariant shape retrieval , 2011, TOGS.
[84] Zeyun Yu,et al. Surface feature based mesh segmentation , 2011, Comput. Graph..
[85] Ohad Ben-Shahar,et al. A fully automated greedy square jigsaw puzzle solver , 2011, CVPR 2011.
[86] Pizzanu Kanongchaiyos,et al. Reeb graph based partial shape retrieval for non-rigid 3D object , 2011, VRCAI.
[87] Longin Jan Latecki,et al. Particle filter with state permutations for solving image jigsaw puzzles , 2011, CVPR 2011.
[88] Bo Li,et al. 3D model retrieval using hybrid features and class information , 2013, Multimedia Tools and Applications.
[89] Ayellet Tal,et al. Surface partial matching and application to archaeology , 2011, Comput. Graph..
[90] Thomas A. Funkhouser,et al. Algorithms to automatically quantify the geometric similarity of anatomical surfaces , 2011, Proceedings of the National Academy of Sciences.
[91] Ko Nishino,et al. Reassembling Thin Artifacts of Unknown Geometry , 2011, VAST.
[92] C. Chamzas,et al. 3D pottery shape matching using depth map images , 2011 .
[93] Tim Weyrich,et al. Learning how to match fresco fragments , 2011, JOCCH.
[94] Radu Horaud,et al. Topologically-robust 3D shape matching based on diffusion geometry and seed growing , 2011, CVPR 2011.
[95] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[96] Benjamin Bustos,et al. On nonmetric similarity search problems in complex domains , 2011, CSUR.
[97] Karthik Ramani,et al. Temperature distribution descriptor for robust 3D shape retrieval , 2011, CVPR 2011 WORKSHOPS.
[98] Andrew C. Gallagher. Jigsaw puzzles with pieces of unknown orientation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[99] Guillaume Lavoué,et al. Combination of bag-of-words descriptors for robust partial shape retrieval , 2012, The Visual Computer.
[100] M. Muzzupappa,et al. A Complete Morphological Study of the Right Hand of Bronzo "A" DI Riace , 2012 .
[101] Petros Daras,et al. Investigating the Effects of Multiple Factors Towards More Accurate 3-D Object Retrieval , 2012, IEEE Transactions on Multimedia.
[102] Ligang Liu,et al. Co‐Segmentation of 3D Shapes via Subspace Clustering , 2012, Comput. Graph. Forum.
[103] Luc Van Gool,et al. Tools for Virtual Reassembly of Fresco Fragments , 2012 .
[104] Wei Yu,et al. Fragmented skull modeling using heat kernels , 2012, Graph. Model..
[105] Leonidas J. Guibas,et al. An optimization approach for extracting and encoding consistent maps in a shape collection , 2012, ACM Trans. Graph..
[106] S. Prima,et al. A new efficient EM-ICP algorithm for non-linear registration of 3D point sets , 2012 .
[107] Dimitris Arabadjis,et al. Efficient solution to the 3D problem of automatic wall paintings reassembly , 2012, Comput. Math. Appl..
[108] Radu Horaud,et al. Keypoints and Local Descriptors of Scalar Functions on 2D Manifolds , 2012, International Journal of Computer Vision.
[109] Daniel Cohen-Or,et al. Active co-analysis of a set of shapes , 2012, ACM Trans. Graph..
[110] Marinos Ioannides. Progress in Cultural Heritage Preservation : 4th International Conference, EuroMed 2012, Limassol, Cyprus, October 29 November 3, 2012. Proceedings , 2012 .
[111] Ioannis Pratikakis,et al. 3D Object Retrieval via Range Image Queries based on SIFT descriptors on Panoramic Views , 2012, 3DOR@Eurographics.
[112] Alexander M. Bronstein,et al. Coupled quasi‐harmonic bases , 2012, Comput. Graph. Forum.
[113] Mark Stevenson,et al. Computing similarity between items in a digital library of cultural heritage , 2013, JOCCH.
[114] Nathan S. Netanyahu,et al. A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[115] Ghassan Hamarneh,et al. Bilateral Maps for Partial Matching , 2013, Comput. Graph. Forum.
[116] Andrea Cerri,et al. The Persistence Space in Multidimensional Persistent Homology , 2013, DGCI.
[117] Marco Callieri,et al. Innovative uses of 3D digital technologies to assist the restoration of a fragmented terracotta statue , 2013 .
[118] Kun Zhou,et al. A Survey on Partial Retrieval of 3D Shapes , 2013, Journal of Computer Science and Technology.
[119] Gary K. L. Tam,et al. Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid , 2013, IEEE Transactions on Visualization and Computer Graphics.
[120] Daniela Giorgi,et al. PHOG: Photometric and geometric functions for textured shape retrieval , 2013, SGP '13.
[121] Giuseppe Patanè,et al. Heat diffusion kernel and distance on surface meshes and point sets , 2013, Comput. Graph..
[122] Vincent Barra,et al. 3D shape retrieval using Kernels on Extended Reeb Graphs , 2013, Pattern Recognit..
[123] Ko Nishino,et al. A flexible approach to reassembling thin artifacts of unknown geometry , 2013 .
[124] Vincent Barra,et al. Learning Kernels on Extended Reeb Graphs for 3D Shape Classification and Retrieval , 2013, 3DOR@Eurographics.
[125] Olivier Colot,et al. A parts-based approach for automatic 3D shape categorization using belief functions , 2013, TIST.
[126] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[127] Paolo Cignoni,et al. A computer-assisted constraint-based system for assembling fragmented objects , 2013, 2013 Digital Heritage International Congress (DigitalHeritage).
[128] Andrea Cerri,et al. Similarity Assessment for the Analysis of 3D Artefacts , 2014, GCH.
[129] Georgios Papaioannou,et al. Facet Extraction and Classification for the Reassembly of Fractured 3D Objects , 2014, Eurographics.
[130] Alexander M. Bronstein,et al. Supervised learning of bag‐of‐features shape descriptors using sparse coding , 2014, Comput. Graph. Forum.
[131] Michalis A. Savelonas,et al. An overview of partial 3D object retrieval methodologies , 2015, Multimedia Tools and Applications.
[132] Silvia Biasotti,et al. Mathematical Tools for Shape Analysis and Description , 2014, Synthesis Lectures on Computer Graphics and Animation.
[133] Hamid Laga,et al. Reasoning About Shape in Complex Datasets: Geometry, Structure and Semantics , 2014, Eurographics.
[134] David B. Cooper,et al. Solving Square Jigsaw Puzzles with Loop Constraints , 2014, ECCV.
[135] Leonidas J. Guibas,et al. Functional map networks for analyzing and exploring large shape collections , 2014, ACM Trans. Graph..
[136] Federico Tombari,et al. SHOT: Unique signatures of histograms for surface and texture description , 2014, Comput. Vis. Image Underst..
[137] Learning Spectral Descriptors for Deformable Shape Correspondence , 2014, IEEE Trans. Pattern Anal. Mach. Intell..
[138] Ayellet Tal,et al. 3D Shape Analysis for Archaeology , 2014, 3D Research Challenges in Cultural Heritage.
[139] R. Nedelcu,et al. Scanning accuracy and precision in 4 intraoral scanners: an in vitro comparison based on 3-dimensional analysis. , 2014, The Journal of prosthetic dentistry.
[140] Kang Zhang,et al. A graph-based optimization algorithm for fragmented image reassembly , 2014, Graph. Model..
[141] Michalis A. Savelonas,et al. Fisher Encoding of Adaptive Fast Persistent Feature Histograms for Partial Retrieval of 3D Pottery Objects , 2014, 3DOR@Eurographics.
[142] Georgios Papaioannou,et al. Efficient Sparse ICP , 2015, Comput. Aided Geom. Des..
[143] Georgios Papaioannou,et al. Object Completion using k‐Sparse Optimization , 2015, Comput. Graph. Forum.
[144] Pierre Vandergheynst,et al. ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds , 2015, ArXiv.
[145] Michalis A. Savelonas,et al. Partial 3D Object Retrieval combining Local Shape Descriptors with Global Fisher Vectors , 2015, 3DOR@Eurographics.
[146] Mohammed Bennamoun,et al. A Comprehensive Performance Evaluation of 3D Local Feature Descriptors , 2015, International Journal of Computer Vision.
[147] Ayellet Tal,et al. Solving multiple square jigsaw puzzles with missing pieces , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[148] Pierre Vandergheynst,et al. Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks , 2015, SGP '15.
[149] Andrea Cerri,et al. 3D Artifacts Similarity Based on the Concurrent Evaluation of Heterogeneous Properties , 2015, JOCCH.
[150] Giuseppe Patanè,et al. Semantic annotation of 3D anatomical models to support diagnosis and follow-up analysis of musculoskeletal pathologies , 2016, International Journal of Computer Assisted Radiology and Surgery.
[151] Alberto Del Bimbo,et al. The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds , 2015, IEEE Transactions on Image Processing.
[152] S. Filin,et al. Prehistoric bedrock features: recent advances in 3D characterization and geometrical analyses , 2015 .
[153] Georgios Papaioannou,et al. Fractured Object Reassembly via Robust Surface Registration , 2015, Eurographics.
[154] Ayellet Tal,et al. Surface Regions of Interest for Viewpoint Selection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[155] Andrea Giachetti,et al. Scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[156] Tim Weyrich,et al. A Survey of Geometric Analysis in Cultural Heritage , 2016, Comput. Graph. Forum.
[157] Trimble,et al. Fragments of the City: Stanfordʹs Digital Forma Urbis Romae Project , 2022 .