View-based 3D model retrieval using compressive sensing based classification

The number of available 3D models in various areas increases steadily. Efficient methods to search for 3D models by content, rather than textual annotations, are crucial. For this purpose, we propose content based 3D model retrieval using a compressive sensing technique which is very efficient in classification by using only few input information.

[1]  Adam Finkelstein,et al.  Suggestive contours for conveying shape , 2003, ACM Trans. Graph..

[2]  James Ze Wang,et al.  Image retrieval: Ideas, influences, and trends of the new age , 2008, CSUR.

[3]  Ming Ouhyoung,et al.  On Visual Similarity Based 3D Model Retrieval , 2003, Comput. Graph. Forum.

[4]  Ali Shokoufandeh,et al.  View-based 3-D object recognition using shock graphs , 2002, Object recognition supported by user interaction for service robots.

[5]  Bernard Chazelle,et al.  Matching 3D models with shape distributions , 2001, Proceedings International Conference on Shape Modeling and Applications.

[6]  Rama Chellappa,et al.  Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[7]  B. Kimia,et al.  3D object recognition using shape similiarity-based aspect graph , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[8]  Michael Elad,et al.  Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach , 2001, Eurographics Multimedia Workshop.

[9]  Dietmar Saupe,et al.  3D Model Retrieval , 2001 .

[10]  Marco Righero,et al.  An introduction to compressive sensing , 2009 .

[11]  Dejan V. Vranic.  DESIRE: a composite 3D-shape descriptor , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[12]  Deanna Needell,et al.  Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit , 2007, IEEE Journal of Selected Topics in Signal Processing.

[13]  Hans-Peter Kriegel,et al.  3D Shape Histograms for Similarity Search and Classification in Spatial Databases , 1999, SSD.

[14]  Arjan Kuijper,et al.  Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours , 2010, ACM Multimedia.

[15]  David P. Dobkin,et al.  A search engine for 3D models , 2003, TOGS.

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

[17]  Petros Daras,et al.  A 3D Shape Retrieval Framework Supporting Multimodal Queries , 2010, International Journal of Computer Vision.

[18]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[19]  Benjamin B. Kimia,et al.  3D Object Recognition Using Shape Similarity-Based Aspect Graph , 2001, ICCV.

[20]  Bo Li,et al.  View Context: A 3D Model Feature for Retrieval , 2010, MMM.

[21]  D. Donoho,et al.  Basis pursuit , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[22]  Ulrich Eckhardt,et al.  Shape descriptors for non-rigid shapes with a single closed contour , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[23]  Szymon Rusinkiewicz,et al.  Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors , 2003, Symposium on Geometry Processing.

[24]  Aaron Hertzmann,et al.  Introduction to 3D Non-Photorealistic Rendering: Silhouettes and Outlines , 1999 .