吉林大学学报（理学版）Issue(4)：746-752,7.DOI:10.13413/j.cnki.jdxblxb.2014.04.22
基于高次曲线拟合的人脸特征表示
Face Eigen Expression Based on High-Order Curve Fitting
摘要
Abstract
We proposed a new method to extract invariant features from human face image.With the help of digital curve fitting,we represented face binary edge map with high-order polynomial and parabola segments.Then,the polar moment of the inertia of pixel block beside the curve segments was used to measure the difference between local texture and shape.From the analysis of the experimental result,it is concluded that compared with line edge map and parabola edge map,this method can give a better way to describe the feature distribution of face images.关键词
边缘提取/曲线拟合/高次多项式/极惯性矩Key words
edge extraction/curve fitting/high-order polynomial/polar moment of inertia分类
信息技术与安全科学引用本文复制引用
刘宏,张树功..基于高次曲线拟合的人脸特征表示[J].吉林大学学报（理学版）,2014,(4):746-752,7.基金项目
国家自然科学基金(批准号:11171003)和吉林省自然科学基金(批准号:20101597) （批准号:11171003）
