RELAXED LOCAL TERNARY PATTERN FOR FACE RECOGNITION

被引：0

作者：

Ren, Jianfeng ^{[1
]}

Jiang, Xudong ^{[2
]}

Yuan, Junsong ^{[2
]}

机构：

[1] Nanyang Technol Univ, Inst Media Innovat, BeingThere Ctr, Singapore 637553, Singapore

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年

关键词：

Local Binary Pattern; Local Ternary Pattern; Uncertain State; Relaxed LTP; Face Recognition; EXTRACTION;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Local binary pattern (LBP) is sensitive to noise. Local ternary pattern (LTP) partially solves this problem by encoding the small pixel difference into a third state. The small pixel difference may be easily overwhelmed by noise. Thus, it is difficult to precisely determine its sign and magnitude. In this paper, we propose the concept of uncertain state to encode the small pixel difference. We do not care its sign and magnitude, and encode it as both 0 and 1 with equal probability. The proposed Relaxed LTP is tested on the CMU-PIE database, the extended Yale B database and the O2FN mobile face database. Superior performance is demonstrated compared with LBP and LTP.

引用

页码：3680 / 3684

页数：5

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