低维矩阵约束的非刚体特征点分类方法

doi:10.3969/j.issn.1001-2400.2015.04.009

J4 ›› 2015, Vol. 42 ›› Issue (4): 53-56+69.doi: 10.3969/j.issn.1001-2400.2015.04.009

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Low dimension matrix constraint method for classifying non-rigid features

LIU Shigang1;XIN Xiaomeng1;PENG Yali1,2;QIU Guoyong1

(1. Key Lab. of Modern Teaching Technology of Ministry of Education, Shaanxi Normal Univ., Xi'an 710062, China;
2. School of Computer Science and Technology, Xidian Univ., Xi'an 710071, China)

Received:2014-03-12 Online:2015-08-20 Published:2015-10-12
Contact: LIU Shigang E-mail:shgliu@gmail.com

Abstract

Abstract:

To classify the features into the rigid and non-rigid ones, a low dimension matrix constraint method for non-rigid feature classification is proposed. All the non-rigid features are put into a matrix and an error function is introduced based on the fact that the matrix which consists of rigid features spans a 3D subspace. The feature which has a max error is regarded as the non-rigid one and moved from the matrix one by one. Experimental results with both simulated and real data show that the method can efficiently classify the features into two sets.

Key words: low dimension matrix, feature classified, non-rigid

LIU Shigang;XIN Xiaomeng;PENG Yali;QIU Guoyong. Low dimension matrix constraint method for classifying non-rigid features[J].J4, 2015, 42(4): 53-56+69.

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Low dimension matrix constraint method for classifying non-rigid features

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