摘要
针对传统眼睛定位模板匹配算法精确度和速度上的不足,对算法进行了模板扩大和相似度模板筛选两种改进,同时在匹配速度上采取粗定位细定位提高匹配速度。将眼睛模板转化成眼眉模板后,避免了由于眉毛和部分眼睛相似造成的特征点错误定位。在传统的模板集选取上提出基于相关系数选取原则后,避免了人为因素对模板选取造成的误差,很大程度上去除了入选模板之间的冗余度,进一步提高了定位的精确度,且在定位精度保证的情况下,大大减少了定位时间。
As the limitation in the precision and speed of template matching,a modified eye locating method for template matching with extend templates selected by correlation coefficient algorithm is proposed.At the same time,this paper utilizes the rough location and accurate location to speed up the process.The inaccurate location due to the high similarity between the eyes and brows is avoided by changing the eye template to eye-brow template.The algorithm reduces the redundancy of the template set by taking the correlation coefficient to select the efficient templates,and then,the man-made error in template select is avoided.Thus the location precision and speed are improved obviously.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第32期207-209,213,共4页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)(No.2005CB724303)。~~
关键词
人脸识别
眼睛定位
模版匹配
眼眉模板
相关系数
face recognition
eye location
template matching
eye-brow template
correlation coefficient
