现代电子技术2024，Vol.47Issue(20)：148-152,5.DOI:10.16652/j.issn.1004-373x.2024.20.023
几何约束下虚拟人脸重复视觉特征点匹配研究
Research on repetitive visual feature point matching of virtual face under geometric constraints
摘要
Abstract
In order to minimize the mismatching of virtual facial feature points,a method for matching repeated visual feature points of virtual faces under geometric constraints is studied.The Gaussian filtering is used to construct the multi-scale space for virtual face images,and combined with the shape change index to detect repeated visual feature points of virtual faces in the multi-scale space.The feature point matching method based on dynamic feature matrix solution(DFMS)is used to complete the initial matching of repeated visual feature points.Based on the consistent distance and slope of the connecting lines between the matching point pairs,the optimal geometric constraints are constructed to effectively remove mismatched point pairs.After secondary filtering by RANSAC algorithm,the best matching of repeated visual feature points of virtual faces is realized.The experimental results show that the proposed method can detect repeated visual feature points at key positions of virtual faces,and remove mismatched point pairs to the greatest extent,realizing the accurate matching of repeated visual feature points.关键词
几何约束/虚拟人脸/重复视觉特征点/特征点匹配/特征点检测/多尺度空间/奇异值矩阵Key words
geometric constraint/repetitive face/repectitive visual feature point/feature point matching/feature point detection/multi-scale space/singular value matrix分类
信息技术与安全科学引用本文复制引用
顾峰豪,葛亮..几何约束下虚拟人脸重复视觉特征点匹配研究[J].现代电子技术,2024,47(20):148-152,5.
