Shape recognition based on fuzzy shape context

被引：0

作者：

Han, Min ^{[1
]}

Zheng, Dan-Chen ^{[1
]}

机构：

[1] Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2012年 / 38卷 / 01期

关键词：

Circular shift matching; Fuzzy shape context; Segment matching; Shape context; Shape matching;

D O I：

10.3724/SP.J.1004.2012.00068

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In the process of shape matching based on shape context, each of the samples is directly classified into one bin in the histogram, which leads to the inaccurate feature representation and matching bias results. With fuzzy membership function introduced into log-polar coordinate, fuzzy shape context is constructed based on the histogram which represents the fuzzy partition on the distribution of samples, and shapes can be accurately represented by the descriptor. The sample set is divided into subsets in polar coordinates, and segment matching is proposed for shape matching with incorrect matches eliminated. On this basis, the circular shift matching is adopted for resolving the problem of shape matching in different postures. Experimental results prove that shape recognition and retrieval can be effectively achieved by using the proposed method. Copyright © 2012 Acta Automatica Sinica. All rights reserved.

引用

页码：68 / 75

页数：7

共 20 条

[1]

Biederman I., Ju G., Surface versus edge-based determinants of visual recognition, Cognitive Psychology, 20, 1, pp. 36-64, (1988)

[2]

Ding X.-F., Wu H., Zhang H.-J., Ma S.-D., Review on shapematching, Acta Automatica Sinica, 27, 5, pp. 678-694, (2001)

[3]

Belongie S., Malik J., Puzicha J., Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 4, pp. 509-522, (2002)

[4]

Amores J., Sebe N., Radeva P., Context-based object-class recognition and retrieval by generalized correlograms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 10, pp. 1818-1833, (2007)

[5]

Shi Y., Thompson P.M., Zubicaray G.I., Rose S.E., Tu Z., Dinov I., Toga A.W., Direct mapping of hippocampal surfaces with intrinsic shape context, NeuroImage, 37, 3, pp. 792-807, (2007)

[6]

Bai X., Yang X., Latecki L.J., Liu W., Tu Z., Learning context-sensitive shape similarity by graph transduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 5, pp. 861-874, (2010)

[7]

Bai X., Wang B., Wang X., Liu W., Tu Z., Co-transduction for shape retrieval, Proceedings of the 11th European Conference on Computer Vision, pp. 328-341, (2010)

[8]

Mori G., Belongie S., Malik J., Efficient shape matching using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 11, pp. 1832-1837, (2005)

[9]

Ling H., Jacobs D.W., Shape classification using the inner-distance, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 2, pp. 286-299, (2007)

[10]

Roman-Rangel E., Pallan C., Odobez J.M., Gatica-Perez D., Analyzing ancient Maya glyph collections with contextual shape descriptors, International Journal of Computer Vision, 94, 1, pp. 101-117, (2010)

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