Algorithm for extracting end feature point of 3D scanning human body model

End feature point extraction is the foundation and an important step of skeleton extraction. However, most of current methods of end feature point extraction are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate end feature point extraction algorithm. First, we automatically extract end feature points of the model according to Morse function based on geodesic distance of human body model. Then, we optimize the data structure and code of our algorithm. The experimental results show that our algorithm complexity is low and our algorithm is accurate and fully automatic.