关键词: 特征点定位, 形状索引, 曲度, 局部形状图, 支持向量机

Abstract: Accurate location of face feature points is one of the key steps in 3D face recognition. A fully automatic locating algorithm for 3D facial nose tip and inner eye corner in different views was presented, which relied on a statistical model combining Local Shape Map (LSM) and local shape index, and the statistical radius of the local shape map was adaptively determined by error analysis. The experimental results on the CASIA 3D face database demonstrate that this method performs more precise location than heuristic algorithm and curvature-based method.

Key words: feature point location, shape index, curvedness, Local Shape Map (LSM), Support Vector Machine (SVM)