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Summary: 3D Object Retrieval Using Salient Views
Indriyati Atmosukarto, Linda G. Shapiro
Dept. Computer Science and Engineering
University of Washington
Seattle, WA, USA
indria, shapiro@cs.washington.edu
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 [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.
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