Self-Similarity based Interest Points Extraction for Weak Texture

被引：0

作者：

Mao Min ^{[1
]}

Hao Kuangrong ^{[1
,2
]}

Ding Yongsheng ^{[1
,2
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[2] Donghua Univ, Minist Educ, Engn Res Ctr Digitized Text & Fash Technol, Shanghai 201620, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Weak texture; Point matching algorithm; Point detector; Region-similarity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a novel point detection method for weak texture is presented. The points with weak texture characteristic are detected by the self-similarity concept. The detection mechanism can be separated into two steps: 1) Detecting the candidate feature points by local self-similarity; 2) Using texture strength conception to refine the candidate point set of weak texture. Experiments demonstrate the effectiveness of the proposed point detection algorithm for weak texture.

引用

页码：4881 / 4886

页数：6

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