摘要
基于人眼灰度变化非常明显这一特征,本文提出了一种人脸识别中眼睛定位的新算法。首先,对眼睛的搜索区域进行小块划分,计算每一小块的图像复杂度;然后,找出复杂度最大的前16个小块的位置;最后,根据图像块的结构居中度对眼睛进行准确定位。与其它方法相比,此算法具有定位准确,运算速度快等特点。
The eyes' gray degree varies distinctly. This paper presents a new algorithm to locate eyes based on features of gray degree. First, the algorithm divides the search region into small plots and computes the complexity degrees respectively. Then, 16 plots are chosen with the most complexity degrees. Finally, the algorithm locates the precise positions of the eyes by computing the center degree of structure. Compared with other algorithms, this algorithm has many features such as precise positioning and enhanced efficiency.
出处
《电路与系统学报》
CSCD
北大核心
2007年第2期98-100,83,共4页
Journal of Circuits and Systems
关键词
眼睛定位
图像复杂度
图像结构居中度
eye location
complexity degree
center degree of structure