NDLI: 3D object retrieval using salient views

Content Provider	Springer Nature Link
Author	Shapiro, Linda G. Atmosukarto, Indriyati
Copyright Year	2012
Abstract	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 (Atmosukarto and Shapiro in International workshop on structural, syntactic, and statistical pattern recognition, 2008; Atmosukarto and Shapiro in ACM multimedia information retrieval, 2008). The salient views are selected by choosing views with multiple salient points on the silhouette of the object. Silhouette-based similarity measures from Chen et al. (Comput Graph Forum 22(3):223–232, 2003) are then used to calculate the similarity between two 3D objects. Retrieval experiments were performed on three datasets: the Heads dataset, the SHREC2008 dataset, and the Princeton dataset. Experimental results show that the retrieval results using the salient views are comparable to the existing light field descriptor method (Chen et al. in Comput Graph Forum 22(3):223–232, 2003), and our method achieves a 15-fold speedup in the feature extraction computation time.
Starting Page	103
Ending Page	115
Page Count	13
File Format	PDF
ISSN	21926611
Journal	International Journal of Multimedia Information Retrieval
Volume Number	2
Issue Number	2
e-ISSN	2192662X
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-07-08
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3D object retrieval 3D object signature Information Storage and Retrieval Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Science Salient points Information Systems Applications (incl. Internet) Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Media Technology

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