Object Recognition based on SIFT Feature Points

被引：0

作者：

Huang, Wen-qing ^{[1
]}

Hu, Hai-yan ^{[1
]}

Li, Wen-jie ^{[1
]}

Jiang, Ming-feng ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Inst Comp Vis & Pattern Recognit, Hangzhou, Zhejiang, Peoples R China

来源：

ISBE 2011: 2011 INTERNATIONAL CONFERENCE ON BIOMEDICINE AND ENGINEERING, VOL 2 | 2011年

关键词：

SIFT; Scale space; Match; BBF algorithm;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

An approach to recognize object based on SIFT (Scale Invariant Feature Transform) feature points is proposed in this paper. First, the method to obtain SIFT feature points in different scale space is discussed. Then, a k-d tree of SIFT feature points is created. The matching between two images is completed by using BBF (Best Bin First) algorithm on k-d tree. Finally, the values of some parameters are given by analyzing the datum and curves of experiment. Experiment results show that SIFT feature point is invariant to rotation, scale and intensity change, to some extent, is invariant to affine, noise and the change in viewpoint. By means of SIFT feature points, the robust recognition can be performed.

引用

页码：517 / 520

页数：4

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