桂林理工大学学报Issue(1)：175-179,5.DOI:10.3969/j.issn.1674-9057.2014.01.028
And ro id手机中人脸检测算法的改进及实现
Improvement and implementation of face detection algorithm based on Android smart phone
摘要
Abstract
In order to improve the shooting of smart phones,a new face detection algorithm is presented based on skin color and template.Firstly skin regions are segmented by skin-color clustering in a new color space-YCgCr.Then image binaryzation is completed referring to the built three-dimensional lookup table.The candi-date regions are determined by noise processing and geometric methods,the scale and gray of which are normal-ized afterward.Finally the weighted Euclidean distance is calculated between the candidate face region and the normal reference template,according to the candidate face determined or not.The experimental results show that face detection based on this algorithm has better practicality and efficiency in comparision with Android 2.3 system,and improves the shooting of Android smart phone.关键词
人脸检测/YCgCr颜色空间/肤色分割/模板匹配/AndroidKey words
face detection/YCgCr color space/skin-color segmentation/template matching/Android分类
信息技术与安全科学引用本文复制引用
李新,翟玉美,肖洪祥..And ro id手机中人脸检测算法的改进及实现[J].桂林理工大学学报,2014,(1):175-179,5.基金项目
广西自然科学基金项目 （）
