We present a new approach for 3D model indexing and retrieval using 2D/3D shape descriptors based on silhouettes or depth-buffer images. To take into account the dispersion of information in the views, we associate to each view a relevance index which will be afterward used in the dissimilarity computation. The performance of this new approach is evaluated on the Princeton 3D Shape Benchmark database.
Chaouch and Verroust-Blondet REF present a 2D/3D shape descriptor which is based on either silhouette or depth-buffer images.
Enhanced 2D/3D Approaches Based on Relevance Index for 3D-Shape Retrieval
IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06)
IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06)
Computer Science