Multi-scale Approximation of the Matching Distance for Shape Retrieval
暂无分享,去创建一个
[1] Patrizio Frosini,et al. Size theory as a topological tool for computer vision , 1999 .
[2] Patrizio Frosini,et al. Using matching distance in size theory: A survey , 2006, Int. J. Imaging Syst. Technol..
[3] Mario Vento,et al. Image Analysis and Processing - ICIAP 2009, 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009, Proceedings , 2009, ICIAP.
[4] Remco C. Veltkamp,et al. A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..
[5] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Herbert Edelsbrunner,et al. Computational Topology - an Introduction , 2009 .
[7] Leonidas J. Guibas,et al. Persistence barcodes for shapes , 2004, SGP '04.
[8] Alexander M. Bronstein,et al. Numerical Geometry of Non-Rigid Shapes , 2009, Monographs in Computer Science.
[9] Leonidas J. Guibas,et al. Gromov‐Hausdorff Stable Signatures for Shapes using Persistence , 2009, Comput. Graph. Forum.
[10] Daniela Giorgi,et al. A new algorithm for computing the 2-dimensional matching distance between size functions , 2011, Pattern Recognit. Lett..
[11] Daniela Giorgi,et al. Describing shapes by geometrical-topological properties of real functions , 2008, CSUR.
[12] Claudio Gutierrez,et al. Survey of graph database models , 2008, CSUR.
[13] Claudia Landi,et al. Recognition of Occluded Shapes Using Size Functions , 2009, ICIAP.
[14] Patrizio Frosini,et al. Natural Pseudo-Distance and Optimal Matching between Reduced Size Functions , 2008, ArXiv.