Tone-Aware Sparse Representation for Face Recognition
Lingfeng Wang; Huai-Yu Wu; Chunhong Pan
2013
会议名称IEEE International Conference on Automatic Face and Gesture Recognition (FG 2013)
会议录名称IEEE International Conference on Automatic Face and Gesture Recognition (FG 2013)
会议日期2013
会议地点Shanghai, China
摘要
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.
关键词Tone-aware Sparse Representation For Face Recognition
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12145
专题模式识别国家重点实验室_先进数据分析与学习
通讯作者Huai-Yu Wu
作者单位NLPR, CASIA
推荐引用方式
GB/T 7714
Lingfeng Wang,Huai-Yu Wu,Chunhong Pan. Tone-Aware Sparse Representation for Face Recognition[C],2013.
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