[1] BRONSTEIN A M, BRONSTEIN M M, GUIBAS L J, et al. Shape google:geometric words and expressions for invariant shape retrieval[J]. ACM Transactions on Graphics, 2011, 30(1):Article No. 1. [2] BIASOTTI S, CERRI A, BRONSTEIN A, et al. Recent trends, applications, and perspectives in 3D shape similarity assessment[J]. Computer Graphics Forum, 2016, 35(6):87-119. [3] OVSJANIKOV M, BEN-CHEN M, SOLOMON J, et al. Functional maps:a flexible representation of maps between shapes[J]. ACM Transactions on Graphics, 2012, 31(4):Article No. 30. [4] BRONSTEIN A M, BRONSTEIN M M, KIMMEL R. Generalized multidimensional scaling:a framework for isometry-invariant partial surface matching[J]. Proceedings of the National Academy of Sciences of the United States of America, 2006, 103(5):1168-1172. [5] LIPMAN Y, FUNKHOUSER T, Möbius voting for surface correspondence[J]. ACM Transactions on Graphics, 2009, 28(3):Article No. 72. [6] OVSJANIKOV M, MERIGOT Q, MEMOLI F, et al. One point isometric matching with the heat kernel[J]. Computer Graphics Forum, 2010, 29(5):1555-1564. [7] TEVS A, BOKELOH M, WAND M, et al. Isometric registration of ambiguous and partial data[C]//Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2009:1185-1192. [8] TEVS A, BERNER A, WAND M, et al. Intrinsic shape matching by planned landmark sampling[J]. Computer Graphics Forum, 2011, 30(2):543-552. [9] ZHANG H, SHEFFER A, COHEN-OR D, et al. Deformation-driven shape correspondence[J]. Computer Graphics Forum, 2008, 27(5):1431-1439. [10] ZAHARESCU A, BOYER E, VARANASI K, et al. Surface feature detection and description with applications to mesh matching[C]//Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2009:373-380. [11] SAHILLIOGLU Y, YEMEZ Y. 3D shape correspondence by isometry-driven greedy optimization[C]//Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2010:453-458. [12] SHARMA A, HORAUD R, CECH J, et al. Topologically-robust 3D shape matching based on diffusion geometry and seed growing[C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2011:2481-2488. [13] BRONSTEIN A M, BRONSTEIN M M, BUSTOS B, et al. SHREC 2010:robust feature detection and description benchmark[C]//Proceedings of the 3rd Eurographics Conference on 3D Object Retrieval. Aire-la-Ville, Switzerland:Eurographics Association, 2010:79-86. [14] TORSELLO A, BERGAMASCO F, ALBARELLI A, et al. A game-theoretic approach to deformable shape matching[C]//Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2012:182-189. [15] SUN J, OVSJANIKOV M, GUIBAS L. A concise and provably informative multi-scale signature based on heat diffusion[J]//SGP'09:Proceedings of the Symposium on Geometry Processing. Aire-la-Ville, Switzerland:Eurographics Association, 2009:1383-1392. [16] GEBAL K, BAERENTZEN J A, AANAÆS H, et al. Shape analysis using the auto diffusion function[J]. Computer Graphics Forum, 2009, 28(5):1405-1413. [17] CHAZAL F, GUIBAS L J, OUDOT S Y, et al. Persistence-based clustering in Riemannian manifolds[J]. Journal of the ACM, 2013, 60(6):Article No. 41. [18] BRONSTEIN A M, BRONSTEIN M M, KIMMEL R. Numerical Geometry of Non-rigid Shapes[M]. New York:Springer, 2009:86-112. [19] AUBRY M, SCHLICKEWEI U, CREMERS D. The wave kernel signature:a quantum mechanical approach to shape analysis[C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2011:1626-1633. [20] RUSTAMOV R M. Laplace-beltrami eigenfunctions for deformation invariant shape representation[C]//Proceedings of the Fifth Eurographics Symposium on Geometry Processing. Aire-la-Ville, Switzerland:Eurographics Association, 2007:225-233. [21] CORMEN T H, LEISERSON C E, RIVEST R L, et al. Introduction to Algorithms[M]. 3th ed. Cambridge:MIT Press, 2009:246-263. |