期刊论文

Li, Zongmin;Zou, Changqing

英文

Pattern Recognition Letters

0167-8655

2016

83

Nov.1

368-378

10.1016/j.patrec.2016.05.026

This work is partly supported by the Fundamental Research Funds for the Central Universities (No. 15CX06017A), National Natural Science Foundation of China (No. 61379106), the Young Scientists Fund of the National Natural Science Foundation of China (No. 61502153), Natural Science Foundation of Hunan Province of China (No. 2016JJ3031), the Shandong Provincial Natural Science Foundation (No. ZR2013FM036), the Scholarship from China Scholarship Council (No. 201506450033) and the open fund project of Hunan Provincial Key Laboratory for Technology and Application of Cultural Heritage Digitalization. The authors would like to thank the anonymous reviewers and editors for their insightful comments and valuable suggestions which have led to substantial improvements of the paper.

本校为通讯机构

In this paper, we focus on the problem of similarity assessment of isometric 3D shapes, which is of great relevance in improving the effectiveness of retrieval tasks. We first present an effective shape representation technique by proposing a partial aggregation model based on the bag-of-words paradigm. This technique can effectively encode our multiscale local features and has a good discriminatory ability. We then develop a parameter-free distance mapping approach to re-evaluate the similarity results based on intrinsic analysis of a well organized reciprocal k-nearest neighborhood graph. Di...