Method for automatically constructing three-dimensional face muscle model
A three-dimensional face, automatic construction technology, applied in 3D modeling, 3D image processing, image data processing and other directions, can solve the problems of difficulty in customizing face models and limiting flexibility.
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[0017] 1. 3D face feature point detection
[0018] The 3D facial feature point detection stage is the preparatory stage for the construction of the facial muscle model. It is mainly responsible for accurately detecting 22 predefined facial feature points on a given static 3D face grid. Such as figure 1 As shown, the predefined feature points are mainly concentrated in four areas, namely the eyebrow area, the eye area, the nose tip and nose area, and the area around the mouth. These feature points can well describe the facial features of a given 3D face. Provide accurate and sufficient data information for the next stage of muscle positioning.
[0019] Traditional feature point detection methods based on 3D shape analysis have problems such as weak robustness and low detection accuracy caused by the irregularity of the model. Since the method of the present invention is aimed at ordinary users, most of the models of ordinary users come from the Internet, which makes the noise...
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