Pose Estimation Using Local Binary Patterns for Face Recognition

被引：0
|
作者：
Nhat-Quan Huynh Nguyen [1 ]
Thai Hoang Le [1 ]
机构：
[1] VNUHCM Univ Sci, Dept Comp Sci, Ho Chi Minh, Vietnam
来源：
ARTIFICIAL INTELLIGENCE PERSPECTIVES AND APPLICATIONS (CSOC2015) | 2015年 / 347卷
关键词：
Face recognition; Local binary patterns; Pose estimation; ILLUMINATION VARIATIONS; MODEL; IDENTIFICATION; CLASSIFICATION;
D O I：
10.1007/978-3-319-18476-0_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the most challenging factors in face recognition is pose variation. This paper proposes an appropriate framework to identify images across pose. The input profile image is classified to a pose range. After that, this image is matched with the same pose range images from a certain database to determine its identification. In this framework, descriptors which are based on Local Binary Patterns are used to extract features of all images. Experiments on the FERET database prove the robustness of the proposed framework based on comparison with other approaches.
引用
收藏
页码：39 / 49
页数：11
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