一种自适应唇区检测及定位方法.pdf

Computer Engineering and Applications 计算机工程与应用 2010 ，46 （21 ） 17 一种自适应唇区检测及定位方法 1 2 1 1 黄永慧 ，潘保昌 ，梁 坚 ，范晓燕 1 2 1 1 HUANG Yong-hui ，PAN Bao-chang ，LIANG Jian ，FAN Xiao-yan 1.广东工业大学 自动化学院，广州 510006 2.广东工业大学 信息工程学院，广州 510006 1.Faculty of Automation ，Guangdong University of Technology ，Guangzhou 510006 ，China 2.Faculty of Information Engineering ，Guangdong University of Technology ，Guangzhou 510006 ，China E-mail ：msh_huizi@ HUANG Yong-hui ，PAN Bao-chang ，LIANG Jian ，et al.Adaptive algorithm for lip detection and location.Computer Engi- neering and Applications ，2010 ，46 （21 ）：17-20. Abstract ：For the lip area detection ，the method of applying Haar features to train Adaboost classifier can well adapt to kinds of background environment ，but can only get the rectangular area ，which can not accurately locate the lip area ，while the usual lip color separation algorithm can accurately locate the lip area ，but has the high dependence on the background environment of images.Based on this ，this paper realizes a method that a self-adaptive skin and lip color separation model is established ，which can dynamically adjust constant parameters of skin and lip separation algorithm based on the results of ap- plying Haar features to train Adaboost classifier.The model can dynamically acquire distribution range of skin color and lip color ，so it can accurately achieve the lip region of kinds of background images ，and improve the effectiveness and robust- ness of lip-reading deletion.Applying the method to deal with 4000 images in GENKI database ，it successfully detects lip ar- ea and makes curve fit for the edge of the lip region to locate lip.The results show that the method is more effective. Key words ：self-adaptive skin and lip color separation model ；Adaboost classifier ；mat