Research On Facial Acupuncture Point Positioning Method Based On Feature Point Location Algorithm

Acupuncture has a pivotal position in the field of Chinese medicine,has a history of thousands of years,not only can cure the disease,but can be used for daily massage,however,point-positioning is a very difficult thing for non professionals,if someone can not find the point,not only to the health care effect,also may be harmful to health.This makes it lose the important role of daily health,in an awkward position.In this paper,the author through the research of pattern recognition technology in facial acupoints,combined with the popularity of video capture devices and micro computer,put forward a human face point positioning method based on pattern recognition.The method is easy to operate,and can not be used for professional training,so it can greatly reduce the difficulty of acupoint positioning and improve the positioning accuracy,which is beneficial to the application of acupoints in the treatment and health care.In this paper,using facial feature point positioning technology located key points,using extraction algorithm get hair contour.Base on traditional Chinese medicine bone length measurement positioning point method is proposed,the face image positioning method to calculate the facial bone length measurement.Furthermore,based on the above neural network,the location of the image without the image features.This paper gives a new application field for development of facial features,traditional Chinese medicine and computer image technology were integrated to reduce the difficulty of acupuncture,acupoint health and medical education popularization,it has very good practical value,at the same time for the facial feature point technology puts forward new research ideas and methods of acupoint location.The author hopes to provide some reference for scholars who are interested in the research and popularization of traditional Chinese medicine,and to contribute to the health care of traditional Chinese medicine.