Study on the Method of Face Detection Based on Chaos Genetic Algorithm Optimization AdaBoost Algorithm
Aiming at the problems that the traditional AdaBoost algorithm has complex feature computation,long training time and low detection rate,a method of face detection based on chaos genetic algorithm optimization adaBoost algorithm was proposed.Firstly,this algorithm uses the image color segmentation for coarse screening on the face image,in order to determine the human skin area.Secondly,the adaptive median filtering is applied to denoise the face image to improve the quality of the face image.Finally,the chaotic genetic algorithm is used to optimize the AdaBoost algorithm to achieve higher detection rate and detection speed.Compared with the traditional AdaBoost algorithm,the experimental results showed that the face detection method based on chaos genetic algorithm optimization AdaBoost algorithm proposed in this paper has a significant improvement in detection rate and detection speed.
Yu Chai Yang Yang
School of Electrical and Control Engineering,Xian University of Science and Technology,Xian,710054,China
国际会议
2017第三届机械、电子和信息技术工程国际会议(ICMITE 2017)
成都
英文
1-5
2017-12-16（万方平台首次上网日期，不代表论文的发表时间）