CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Tone-Aware Sparse Representation for Face Recognition
Lingfeng Wang; Huai-Yu Wu; Chunhong Pan
2013
Conference NameIEEE International Conference on Automatic Face and Gesture Recognition (FG 2013)
Source PublicationIEEE International Conference on Automatic Face and Gesture Recognition (FG 2013)
Conference Date2013
Conference PlaceShanghai, China
Abstract
It is still a very challenging task to recognize a face
in a real world scenario, since the face may be corrupted by
many unknown factors. Among them, illumination variation
is an important one, which will be mainly discussed in this
paper. First, the illumination variations caused by shadow or
overexposure are regarded as a multiplicative scaling image
over the original face image. The purpose of introducing
scaling vector (or scaling image) is to enhance the pixels
in shadow regions, while depress the pixels in overexposure
regions. Then, based on the scaling vector, we propose a novel
tone-aware sparse representation (TASR) model. Finally, a EMlike
algorithm is proposed to solve the proposed TASR model.
Extensive experiments on the benchmark face databases show
that our method is more robust against illumination variations.
KeywordTone-aware Sparse Representation For Face Recognition
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12145
Collection模式识别国家重点实验室_先进数据分析与学习
Corresponding AuthorHuai-Yu Wu
AffiliationNLPR, CASIA
Recommended Citation
GB/T 7714
Lingfeng Wang,Huai-Yu Wu,Chunhong Pan. Tone-Aware Sparse Representation for Face Recognition[C],2013.
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