SHREC'10 Track: Non-rigid 3D Shape Retrieval

Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the 3D Shape Retrieval Contest 2010 (SHREC'10) track on non-rigid 3D shape retrieval is to evaluate and compare the effectiveness of different methods run on a non-rigid 3D shape benchmark consisting of 200 watertight triangular meshes. Three groups with six methods have participated in this track and the retrieval performance was evaluated using six commonly-used metrics.

[1]  Prosenjit Bose,et al.  Posture Invariant Correspondence of Incomplete Triangular Manifolds , 2007, Int. J. Shape Model..

[2]  Patrick J. F. Groenen,et al.  Modern Multidimensional Scaling: Theory and Applications , 2003 .

[3]  P. A. Blight.  The Analysis of Time Series: An Introduction , 1991 .

[4]  Bernard Chazelle,et al.  Shape distributions , 2002, TOGS.

[5]  Ryutarou Ohbuchi,et al.  Salient local visual features for shape-based 3D model retrieval , 2008, 2008 IEEE International Conference on Shape Modeling and Applications.

[6]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[7]  Craig Gotsman,et al.  Characterizing Shape Using Conformal Factors , 2008, 3DOR@Eurographics.

[8]  Paul Suetens,et al.  Isometric Deformation Modelling for Object Recognition , 2009, CAIP.

[9]  Mauro R. Ruggeri,et al.  Spectral-Driven Isometry-Invariant Matching of 3D Shapes , 2010, International Journal of Computer Vision.

[10]  J A Sethian,et al.  Computing geodesic paths on manifolds. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Joakim Andén,et al.  SCATTERING REPRESENTATION OF MODULATED SOUNDS , 2012 .

[12]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[13]  Leif Kobbelt,et al.  A remeshing approach to multiresolution modeling , 2004, SGP '04.

[14]  Alexander M. Bronstein,et al.  Numerical Geometry of Non-Rigid Shapes , 2009, Monographs in Computer Science.

[15]  Leonidas J. Guibas,et al.  A concise and provably informative multi-scale signature based on heat diffusion , 2009 .

[16]  Sunil Arya,et al.  Approximate nearest neighbor queries in fixed dimensions , 1993, SODA '93.

[17]  Ariel Shamir,et al.  Pose-Oblivious Shape Signature , 2007, IEEE Transactions on Visualization and Computer Graphics.

[18]  Stéphane Mallat,et al.  Classification with scattering operators , 2010, CVPR 2011.

[19]  Bruno Lévy,et al.  Spectral Mesh Processing , 2009, SIGGRAPH '10.

[20]  Leonidas J. Guibas,et al.  Shape Google: a computer vision approach to isometry invariant shape retrieval , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[21]  Guillermo Sapiro,et al.  A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching , 2010, International Journal of Computer Vision.

[22]  David Haussler,et al.  Exploiting Generative Models in Discriminative Classifiers , 1998, NIPS.

[23]  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.

[24]  Paul Suetens,et al.  SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes , 2011, 3DOR@Eurographics.

[25]  Markus H. Gross,et al.  Multi‐scale Feature Extraction on Point‐Sampled Surfaces , 2003, Comput. Graph. Forum.

[26]  Andrea Giachetti,et al.  Radial Symmetry Detection and Shape Characterization with the Multiscale Area Projection Transform , 2012, Comput. Graph. Forum.

[27]  Afzal Godil,et al.  Feature-Preserved 3D Canonical Form , 2013, International Journal of Computer Vision.

[28]  Pierre Geurts,et al.  Extremely randomized trees , 2006, Machine Learning.

[29]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..

[30]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[31]  Guillermo Sapiro,et al.  Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..

[32]  H. Jeffreys.  An invariant form for the prior probability in estimation problems , 1946, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[33]  Daniel Cremers,et al.  The wave kernel signature: A quantum mechanical approach to shape analysis , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[34]  Laurent D. Cohen,et al.  Heuristically Driven Front Propagation for Fast Geodesic Extraction , 2008 .

[35]  Thomas S. Huang,et al.  Image Classification Using Super-Vector Coding of Local Image Descriptors , 2010, ECCV.

[36]  Ryutarou Ohbuchi,et al.  Non-rigid 3D Model Retrieval Using Set of Local Statistical Features , 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

[37]  Cordelia Schmid,et al.  Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[38]  Ron Kimmel,et al.  On Bending Invariant Signatures for Surfaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[39]  Thomas Mensink,et al.  Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.

[40]  Thomas A. Funkhouser,et al.  Distinctive regions of 3D surfaces , 2007, TOGS.

[41]  Ali Shokoufandeh,et al.  Retrieving articulated 3-D models using medial surfaces , 2008, Machine Vision and Applications.

[42]  Ryutarou Ohbuchi,et al.  Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features , 2009, CIVR '09.

[43]  Bernhard Schölkopf,et al.  Ranking on Data Manifolds , 2003, NIPS.

[44]  Leonidas J. Guibas,et al.  Shape google: Geometric words and expressions for invariant shape retrieval , 2011, TOGS.

[45]  Gabriela Csurka,et al.  Visual categorization with bags of keypoints , 2002, eccv 2004.

[46]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .