A salient-point signature for 3d object retrieval

In this paper we describe a new 3D object signature and evaluate its performance for 3D object retrieval. The signature is based on a learning approach that finds the characteristics of salient points on a 3D object and represents the points in a 2D spatial map based on a longitude-latitude transformation. Experimental results show that the signature is able to achieve good retrieval scores for both pose-normalized and randomly-rotated object queries.

[1]  Ian Witten,et al.  Data Mining , 2000 .

[2]  Alberto Del Bimbo,et al.  Content-based retrieval of 3D models through curvature maps: a CBR approach exploiting media conversion , 2006, Multimedia Tools and Applications.

[3]  Daniel A. Keim,et al.  Content-Based 3D Object Retrieval , 2007, IEEE Computer Graphics and Applications.

[4]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[5]  Alberto Del Bimbo,et al.  Content-based retrieval of 3D models , 2006, TOMCCAP.

[6]  David W. Jacobs,et al.  Mesh saliency , 2005, ACM Trans. Graph..

[7]  Remco C. Veltkamp,et al.  A survey of content based 3D shape retrieval methods , 2004, Proceedings Shape Modeling Applications, 2004..

[8]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[9]  Indriyati Atmosukarto,et al.  A Learning Approach to 3D Object Representation for Classification , 2008, SSPR/SPR.

[10]  Karthik Ramani,et al.  Three-dimensional shape searching: state-of-the-art review and future trends , 2005, Comput. Aided Des..

[11]  Umberto Castellani,et al.  Sparse points matching by combining 3D mesh saliency with statistical descriptors , 2008, Comput. Graph. Forum.

[12]  Ko Nishino,et al.  Scale-Dependent 3D Geometric Features , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[13]  Kouki Watanabe,et al.  Detection of Salient Curvature Features on Polygonal Surfaces , 2001, Comput. Graph. Forum.

[14]  Linda G. Shapiro,et al.  Symbolic signatures for deformable shapes , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Ali Shokoufandeh,et al.  Extracting 3D Shape Features in Discrete Scale-Space , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

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

[17]  Thierry Pun,et al.  The Truth about Corel - Evaluation in Image Retrieval , 2002, CIVR.