摘要
针对微整容变化检测的问题,提出一种基于改进迭代最近点算法的变化检测方法。首先采用面部数据曲率特征确定特征点,然后通过普式分析法对面部特征点集求解最小二乘函数,提高迭代最近点算法的效率。通过对面部微整形数据的测试,与经典的ICP方法相比,文中方法具有配准精度高、收敛速度快的特点。
In order to solve the problem of micro plastic change detection,this paper presents a change detection method based on improved ICP algorithm. First,the feature points are generated by surface curvature. Second,solving the least squares function of facial feature points by the procrustes method. In the experiments,facial micro plastic data is adopted to do the tests. Compared with the ICP method,the proposed method shows faster convergence and more accurate registration.
出处
《黑龙江科学》
2017年第4期26-27,共2页
Heilongjiang Science
关键词
变化检测
最近点迭代
微整容
三维配准
面部变化
检测技术
Change detection
Iterative closest point
Micro plastic
3d registration
Facial change
Detection methods