QQ客服 官方微博 反馈留言

	Illumination invariant face recognition by local image descriptor in logarithm domain
	Li, Shun ; Long, Fei ; Cheng, Xuefeng ; Song, Jie ; Long F(龙飞)
	2012
关键词	Artificial intelligence Pixels
英文摘要	Conference Name:2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012. Conference Address: Hangzhou, China. Time:October 28, 2012 - October 29, 2012.; Making recognition more reliable under uncontrolled lighting conditions is one of great challenges for practical face recognition systems. In this paper, inspired by the local binary pattern, we present a simple but effective illumination invariant image descriptor in the logarithm domain. In the proposed approach, the logarithm transform is used firstly. Then the subtraction of each pixel with the neighborhood is implemented. Based on the reflectance model [2], and the assuming that the illumination is constant if the facet is small enough, the differentials are illumination invariant and can be treated as the illumination invariant features. In order to make the recognition task simpler, the sum of the differentials of each pixel with the neighborhood is considered as each pixel's new vale and we use the new image to recognize directly. The experimental results on the Yale B and Extended Yale B prove the outperformance of the proposed method compared to other existing methods. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ISCID.2012.58
出版者	IEEE
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85796]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Li, Shun,Long, Fei,Cheng, Xuefeng,et al. Illumination invariant face recognition by local image descriptor in logarithm domain. 2012-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。