Shape Retrieval of Non-Rigid 3D Human Models

We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. In this track nine groups have submitted the results of a total of 22 different methods which have been tested on our new dataset.

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

[2]  Afzal Godil,et al.  CM-BOF: visual similarity-based 3D shape retrieval using Clock Matching and Bag-of-Features , 2013, Machine Vision and Applications.

[3]  Maks Ovsjanikov,et al.  Functional maps , 2012, ACM Trans. Graph..

[4]  Tong-Yee Lee,et al.  Skeleton extraction by mesh contraction , 2008, SIGGRAPH 2008.

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

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

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

[8]  Jean-Marc Chassery,et al.  Approximated Centroidal Voronoi Diagrams for Uniform , 2010 .

[9]  Ricardo Baeza-Yates,et al.  Modern Information Retrieval - the concepts and technology behind search, Second edition , 2011 .

[10]  Niklas Peinecke,et al.  Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids , 2006, Comput. Aided Des..

[11]  Rémy Prost,et al.  Generic Remeshing of 3D Triangular Meshes with Metric-Dependent Discrete Voronoi Diagrams , 2008, IEEE Transactions on Visualization and Computer Graphics.

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

[13]  Mikhail Belkin,et al.  An iterated graph laplacian approach for ranking on manifolds , 2011, KDD.

[14]  Ralph R. Martin,et al.  Shape Deformation Using a Skeleton to Drive Simplex Transformations , 2008, IEEE Transactions on Visualization and Computer Graphics.

[15]  A. Ben Hamza,et al.  Intrinsic spatial pyramid matching for deformable 3D shape retrieval , 2013, International Journal of Multimedia Information Retrieval.

[16]  Guillermo Sapiro,et al.  Online dictionary learning for sparse coding , 2009, ICML '09.

[17]  Harald Niederreiter,et al.  Programs to generate Niederreiter's low-discrepancy sequences , 1994, TOMS.

[18]  Chunyuan Li.  Spectral Geometric Methods for Deformable 3D Shape Retrieval , 2013 .

[19]  Bo Li,et al.  3D model retrieval using hybrid features and class information , 2013, Multimedia Tools and Applications.

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

[21]  Eric Wahl,et al.  Surflet-pair-relation histograms: a statistical 3D-shape representation for rapid classification , 2003, Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings..

[22]  Renato Cordeiro de Amorim,et al.  Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering , 2012, Pattern Recognit..

[23]  Sebastian Thrun,et al.  SCAPE: shape completion and animation of people , 2005, SIGGRAPH 2005.

[24]  A. Ben Hamza,et al.  Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval: a comparative survey , 2013, Multimedia Systems.

[25]  Yee Whye Teh,et al.  A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.

[26]  Andrew Zisserman,et al.  Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Bo Li,et al.  Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval , 2014, Multimedia Tools and Applications.

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

[29]  Nico Blodow,et al.  Persistent Point Feature Histograms for 3D Point Clouds , 2008 .

[30]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[31]  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.

[32]  Thomas A. Funkhouser,et al.  Biharmonic distance , 2010, TOGS.

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

[34]  A. Ben Hamza,et al.  A multiresolution descriptor for deformable 3D shape retrieval , 2013, The Visual Computer.

[35]  Ralph R. Martin,et al.  A Data-Driven Approach to Efficient Character Articulation , 2013, 2013 International Conference on Computer-Aided Design and Computer Graphics.

[36]  Kilian Q. Weinberger,et al.  Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.

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

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

[39]  Yizhou Yu,et al.  Fast nonrigid 3D retrieval using modal space transform , 2013, ICMR.