Self-Adaption 3D Head Gridding Model Study Based on Frontal Facial Photo
Wang Xian · Jisuanji fangzhen · 2013
Research 3D head modeling.For the 3D head model exported from some software contains a large quantity of data and has a complex structure,it must reduct the datas when use this model to match different faces.It caused heavy workload,poor controllability and the application is also limited.In this paper,a simple and self-adaption 3D head model was proposed.According to the 3D information provided by the Candide-3 model,a standard 3D head model contains 127 control data can be formed by increasing ear characteristics and hindbrain surface model. Then the information of facial feature points and local adjustment principle was used to adjust the standard 3D model to a special 3D model.The special 3D model is similar to the input facial photo.The results show that the created model has less vertexes and a strong sense of reality.It can produce different modeld according to inputting different facial photos,and it has certain adaptability and wide applicability as well.