Study Of The Classification Of Face And Facial Features Of Chinese 3D Face Images

In order to classify face and facial features of Chinese people using 3D face image data,2059 3D face images were acquired using a high-precision 3D face scanner,and 3D face models were reconstructed by Geomagic Studio reverse engineering software and added Texture,get high-precision three-dimensional face image.On this basis,based on the knowledge of geometry and anthropometry,53 face feature points were selected,and feature points were calibrated for each 3D face image.85 classification indicators such as distances,angles and indices between feature points were calculated,and 85 classification indicators indicators were classified to achieve the purpose of classifying face and facial features of Chinese 3D face images.The investigation work can use 3D face correlation technology to obtain more extensive evidence information and investigation clues to do basic research.The research results show that the 85 classification indicators selected in this paper can classify the face and facial features of Chinese 3D face images,and obtain the classification indicators between different nationalities,different genders and different regions,and different genders in the same region,and conclude that Significant higher classification indicators.In the Xinjiang region,the Uygur male and Han females in Xinjiang have more prominent facial and facial features.In Jiangxi Province,in addition to the She ethnic group women,the faces and features of the faces of men and women in other ethnic groups are all more prominent.In the Guangxi region,the characteristics of face and facial features of Guangxi Yao men and Jing women are more prominent in the whole.Among the three regions,the faces and features of Xinjiang men,Guangxi men and Xinjiang women are more prominent in the three regions.Through the research of this paper,we provide a method to discuss the classification of facial features and facial features using 3D face.