摘要：

为提高鼻尖点检测与姿态矫正的精度,结合有效能量判断曲面的凹凸性,提出一种三维人脸鼻尖点检测与姿态矫正算法。利用有效能量在预处理后的三维人脸图像上确定候选鼻尖点,并根据其均值和方差进行二次筛选,将候选点最密集的区域作为鼻尖区域,进一步得到鼻尖点 。计算鼻尖点到三维人脸上其他点的测地距离后切割出有效的人脸区域,同时采用主成分分析法对其进行矫正,通过迭代最近点算法精确对齐后得到对齐误差。基于大量三维人脸数据的仿真结果表明,该算法的检测和矫正成功率分别达到98.8%和98.3%,运行耗时仅为1.489 8 s。

关键词: 有效能量, 鼻尖点检测, 姿态矫正, 测地距离, 迭代最近点

Abstract:

To improve the accuracy of the nasal tip point detection and posture correction,a three-dimensional human face nasal tip point detection and posture correction algorithm based on effective energy is proposed,which combines the judgment ability of effective energy for the surface concavity and convexity.Firstly,the nasal tip candidate points are determined by effective energy in the pre-processed 3D face image,then the second screening is carried out according to the mean and variance of the effective energy.The densest region with the most intensive candidate points is selected as the nasal tip region to further obtain the tip of the nose.The effective face area is cut off after calculating the geodesic distance from the tip of the nasal to the other points on the three-dimensional human face,the principal component analysis is used to make correction for the cut face area,and the alignment error is obtained by precise alignment of the Iterative Closest Point (ICP) algorithm.The comparison experiment is simulated based on a large number of 3D face data,and the results show that the nasal tip point detection and posture correction success rate of proposed algorithm respectively reach 98.8% and 98.3%,and the operation time is only 1.489 8 s.

Key words: effective energy, nasal tip detection, posture correction, geodesic distance, Iterative Closest Point(ICP)

中图分类号: 

• TP391