A local feature descriptor based on Local Binary Patterns

被引：0
|
作者：
Cheng, Gaoqing [1 ]
Chen, Jiaxing [1 ]
机构：
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China
来源：
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) | 2016年
关键词：
Local feature; feature description; texture feature; SIFT; LBP;
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：
This paper presents a local feature descriptor based on Local Binary Patterns (LBP). This descriptor uses binary bit string to represent the local region of images and the integral image to mean filter that makes descriptor building faster. Compared to Scale-invariant feature transform (SIFT) that the calculation is large and the process is time consuming in the description of the characteristics, the descriptor based on LBP speeds about 1 orders of magnitude. In the matching effect for blurred image, illumination changes, and different JPEG compression ratio, the matching results are better than descriptors based on SIFT.
引用
收藏
页码：251 / 258
页数：8
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