Research and Design of Face Detection Based on Open CV in Code Blocks
To implement the problem that the side face detector is slow and its detection rate is low,in this paper,we choose the Adaboost face detection algorithm based on statistics.Then the characteristics of imaging processing software OpenCV and the principle and training flow of Adaboost face detector are introduced.Further,combination with the supplement Haar-like features improved,the full range of face detection based on OpenCV in CodeBlocks is achievement,thereby decreasing the loss of the human faces.
CodeBlocks Face Detection OpenCV Adaboost Haar-like
Lv Xuecong Zhang Zhengbing
College of Arts & Science, Yangtze University Jingzhou 43402,China Electronics & Information school ,Yangtze University Jingzhou 43402,China
国际会议
西安
英文
974-978
2012-08-24(万方平台首次上网日期,不代表论文的发表时间)