Automatic combination of feature descriptors for effective 3D shape retrieval

Authors:
Biao Leng;Zheng Qin
Affiliations:
Department of Computer Science & Technology, Tsinghua University, Beijing, China and School of Software, Tsinghua University, Beijing, China;Department of Computer Science & Technology, Tsinghua University, Beijing, China and School of Software, Tsinghua University, Beijing, China
Venue:
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Year:
2007

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Abstract

We focus on improving the effectiveness of content-based 3D shape retrieval. Motivated by retrieval performance of several individual 3D model feature vectors, we propose a novel method, called prior knowledge based automatic weighted combination, to improve the retrieval effectiveness. The method dynamically determines the weighting scheme for different feature vectors based on the prior knowledge. The experimental results show that the proposed method provides significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database. Compared with two existing combination methods, the prior knowledge weighted combination technique has gained better retrieval effectiveness.