Illumination invariant face recognition algorithm based on local qualitative representation

• Intelligence perception • Previous Articles Next Articles

Illumination invariant face recognition algorithm based on local qualitative representation

Received:2007-11-26 Revised:1900-01-01 Online:2008-05-01 Published:2008-05-01

基于局部定性表达的光照不变人脸识别方法

张熠郭琳张桂林

武汉华中科技大学图像识别与人工智能研究所武汉大学电子信息学院

通讯作者: 张熠

Abstract

Abstract: An illumination invariant face recognition algorithm based on local qualitative representation called Local order mapping was proposed. This representation encoded the order rank of the central pixel among its neighbors, and represented the relative configuration of the image's local regions. Therefore, the local order mapping was very insensitive to the large intensity variations caused by the illumination changes. Meanwhile, a new logic distance measurement for ordinal qualitative features was applied in the nearest neighbor classification for recognition. The experimental results on Extended YaleB face dataset show the illumination robustness of the proposed representation and the validity of the logic distance measurement.

Key words: ordinal feature, illumination invariant, face recognition, similarity measurement

摘要： 提出一种局部定性特征表达方法称为局部序映射(LOM)作为光照不变表达用于人脸识别。该特征表达像素在其邻域中所处的序阶位置，反应了图像像素在局部区域内的相对关系，因而对光照引起的图像大面积灰度变化有很好的不敏感性。同时提出一种针对序定性特征的逻辑距离度量，用于特征空间中最近邻分类器的相似性度量准则。在Extended YaleB 光照变化人脸测试库中的实验表明了本文局部序映射表达的光照鲁棒性及逻辑距离度量的有效性。

关键词: 序特征, 光照不变, 人脸识别, 相似度量

. Illumination invariant face recognition algorithm based on local qualitative representation[J]. Journal of Computer Applications.

张熠郭琳张桂林. 基于局部定性表达的光照不变人脸识别方法[J]. 计算机应用.

[1]	Huaiqing HE, Jianqing YAN, Kanghua HUI. Lightweight face recognition method based on deep residual network [J]. Journal of Computer Applications, 2022, 42(7): 2030-2036.
[2]	Ruijie YANG, Guilin ZHENG. Face liveness detection based on InceptionV3 and feature fusion [J]. Journal of Computer Applications, 2022, 42(7): 2037-2042.
[3]	GAO Gong, YANG Hongyu, LIU Hong. 3D point cloud face recognition based on deep learning [J]. Journal of Computer Applications, 2021, 41(9): 2736-2740.
[4]	YANG Mengmeng, ZHANG Aihua. Fractal image compression based on gray-level co-occurrence matrix and simultaneous orthogonal matching pursuit [J]. Journal of Computer Applications, 2021, 41(5): 1445-1449.
[5]	CHEN Zhengtao, HUANG Can, YANG Bo, ZHAO Li, LIAO Yong. Yak face recognition algorithm of parallel convolutional neural network based on transfer learning [J]. Journal of Computer Applications, 2021, 41(5): 1332-1336.
[6]	LI Hongxia, QIN Pinle, YAN Hanmei, ZENG Jianchao, BAO Qianyue, CHAI Rui. Face frontalization generative adversarial network algorithm based on face feature map symmetry [J]. Journal of Computer Applications, 2021, 41(3): 714-720.
[7]	HU Lihua, ZUO Weijian, NIE Yaoyao. Feature matching method based on weighted similarity measurement [J]. Journal of Computer Applications, 2021, 41(2): 511-516.
[8]	Han DU, Xianzhong LONG, Yun LI. Graph learning regularized discriminative non-negative matrix factorization based face recognition [J]. Journal of Computer Applications, 2021, 41(12): 3455-3461.
[9]	Yubin ZHOU, Hong XIAO, Tao WANG, Wenchao JIANG, Meng XIONG, Zhongtang HE. Health index construction and remaining useful life prediction of mechanical axis based on action cycle degradation similarity measurement [J]. Journal of Computer Applications, 2021, 41(11): 3192-3199.
[10]	FANG Shuya, LIU Shouyin. Non-perception class attendance method based on student body detection [J]. Journal of Computer Applications, 2020, 40(9): 2519-2524.
[11]	ZHAO Qing, YU Yuanhui. 3D face recognition based on hierarchical feature network [J]. Journal of Computer Applications, 2020, 40(9): 2514-2518.
[12]	WANG Jinkai, JIA Xu. Vehicle face recognition algorithm based on NMF with weighted and orthogonal constraints [J]. Journal of Computer Applications, 2020, 40(4): 1050-1055.
[13]	LI Dongbo, HUANG Lyuwen. Reweighted sparse principal component analysis algorithm and its application in face recognition [J]. Journal of Computer Applications, 2020, 40(3): 717-722.
[14]	GONG Rui, DING Sheng, ZHANG Chaohua, SU Hao. Lightweight and multi-pose face recognition method based on deep learning [J]. Journal of Computer Applications, 2020, 40(3): 704-709.
[15]	Yike LYU, Kai XU, Zhenqiang HUANG. Trajectory similarity measurement method based on area division [J]. Journal of Computer Applications, 2020, 40(2): 578-583.