TAEF: A cross-distance/environment face recognition method

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2015)

引用 2|浏览50
暂无评分
摘要
A solution to long distance outdoor face recognition is presented in this work. The proposed method, called the Two-Stage Alignment/Enhancement Filtering (TAEF) system, consists of three main components: a cross-distance face alignment technique, a cross-environment face enhancement technique, and a two-stage filtering system. Given a probe image, the procedure of face alignment, enhancement and matching is executed against all gallery images to eliminate unlikely candidates at once at the first stage for efficiency. Then, the procedure is conducted for every individual probe/gallery image pair for higher accuracy at the second stage. The first rank recognition rates of the TAEF method are 100%, 100% and 97% for 60-, 100- and 150-meter visible-light images in the LDHF database, respectively.
更多
查看译文
关键词
TAEF system,cross-distance face recognition method,environment face recognition method,long distance outdoor face recognition,two-stage alignment-enhancement filtering system,cross-distance face alignment technique,cross-environment face enhancement technique,two-stage filtering system,matching procedure,probe image pair,gallery image pair,rank recognition rates,LDHF database,visible-light images
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要