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题名: Illumination Compensation for Face Recognition using only One Image
作者: Lin L(蔺蘭) ; Zhao G(赵戈) ; Tang YD(唐延东) ; Tian JD(田建东) ; He SY(何思远)
作者部门: 机器人学研究室
关键词: Face recognition ; geometric light-face model ; illumination compensation ; compensating angle
刊名: 自动化学报
ISSN号: 0254-4156
出版日期: 2013
卷号: 39, 期号:12, 页码:2090-2099
收录类别: EI ; CSCD
产权排序: 1
摘要: To reduce the negative impact of illumination on face recognition, we propose a new illumination compensation method based on image invariant calculation. This invariant (the sum of compensating angles, SCA) is calculated by summing two lighting angles in the proper-compensated state. The SCA only depends on single light source and can be computed only once for a lighting system. Based on the Frankfurt horizontal plane of a human skull, we propose a geometric face model of human skull structure. According to our face model, the compensating angle is calculated from the SCA for a face image taken in the same lighting system. With this compensating angle, the illumination compensation for a face image is done by an additive operation. The experimental results validate our method on the Yale B face database. Compared with Choi0s methods, our method makes obvious improvement on images with large lighting angle, and is more robust to light change in both horizontal and vertical directions.
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/14059
Appears in Collections:机器人学研究室_期刊论文

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