Computer Science ›› 2014, Vol. 41 ›› Issue (4): 287-291.

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Automatic Location of Feature Points on Three-dimensional Facial Model Based on Depth Image

LI Kang,SHANG Peng and GENG Guo-hua   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Accurate location of feature points on the three-dimensional facial model is one of the key issues in the craniofacial morphological research.For manual intervention in the process of facial feature points,the paper proposed the method based on the depth image of 3D facial model to locate the feature points.First of all,it generates the two-dimensional depth image of three-dimensional facial model,and then uses SUSAN operator,gray-level integral projection method to locate the feature points on this image,and ultimately mas the located feature points to the facial model,thereby achieves location of thirteen points including nose tip point,mouth corner points,eye corner point and ears points.Experimental results show that the method can automatically locate feature points of the facial model,and accurately obtain the position of the feature points,and effectively solve the problem caused by human involvement of the facial feature point location.

Key words: Three-dimensional facial model,Feature points location,2D depth image,SUSAN operator

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