3d object retrieval using salient views

This paper presents a method for selecting salient 2D views to describe 3D objects for the purpose of retrieval. The views are obtained by first identifying salient points via a learning approach that uses shape characteristics of the 3D points [4, 3]. The salient views are selected by choosing views with multiple salient points on the silhouette of the object. Silhouette-based similarity measures from [6] are then used to calculate the similarity between two 3D objects. Experimental results show that the retrieval results using the salient views are comparable to the existing light field descriptor method [6], and our method achieves a 15-fold speedup in the feature extraction computation time. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval; H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing General Terms Algorithms, Performance Keywords 3D object retrieval, 3D object signature, salient points

• Type: Conference
• Year: 2010
• Where: MIR
• Authors: Indriyati Atmosukarto, Linda G. Shapiro
• Keywords: MIR 2010, Multimedia, Salient 2D Views, Salient Points, Salient Views