摘要
提出了一种综合利用部件信息和整体信息的人脸识别算法。利用部件定位得出人脸关键点 (例如瞳孔和鼻尖 )的位置 ,然后利用这些关键点信息来限制弹性匹配的搜索范围。实验结果表明 。
We present a new face recognition algorithm using both component information and global information from human faces.We first obtained the positions of key points,such as eye iris and nose tip,in human face by locating face components,then used these positions to limit the search area of elastic matching.Experimental results show that higher recognition speed is obtained while the recognition rate remains undercreased even increased.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2002年第8期831-833,共3页
Journal of Optoelectronics·Laser
基金
国家重点攻关资助项目 (2 0 0 1BA80 1B0 7)
