三维物体抗仿射变换特征匹配方法  

Image Matching Method of Three-Dimensional Object with Affine Invariant Feature

作　　者：王吉晖[1] 王亚伟[1] 许廷发[1] 徐磊[1] 吴威[1] 

机构地区：[1]北京理工大学光电学院,北京100081

出　　处：《北京理工大学学报》2013年第11期1193-1197,共5页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金重点资助项目(科学仪器专项)(61027002);国家自然科学基金资助项目(60972100)

摘　　要：为解决三维物体视角变化下的图像匹配问题,提出一种实现三维物体任意仿射变换间的图像匹配方法.在抗仿射变换的Affine-SIFT算法基础上,提出了多变换矩阵mASIFT（multi Affine SIFT）算法.使用多平面随机抽样一致性（multi-plane RANSAC,mRANSAC）几何变换约束方法,从描述子粗匹配结果中提取正确匹配对.比单一变换矩阵方法更加符合目标物体的立体多平面特性,匹配对数普遍是ASIFT的5~9倍.降低每个单应矩阵的误差阈值,使内点提取中双向变换误差阈值小于3个像素（或2个像素）,更有效地剔除误匹配,可计算出更精确的变换矩阵,实现更加准确的匹配.In order to realize the image matching of three-dimensional object under different perspective,a method which is robust to affine transformation is proposed.Based on the fully affine invariant image comparison method,named Affine-SIFT（ASIFT）,mASIFT（multi ASIFT）was put forward,in which a geometric transformation constraint method named mRANSAC（multi-plane RANSAC）was used to extract the right matching points from the coarse matches.It is corroborated that,compared to the singular homography constraint,the multi- plane constraint excluding mismatching method is more proper to the multi-plane characteristics of 3 Dobjects.It could increase the number of matching pairs up to 5~9 times of ASIFT under the same condition.Further,the mutual error threshold of every homography would lower 3 pixels or 2 pixels.As a result,the proposed method could remove mismatches more efficiently,calculate out more accurate transformations and obtain more exact matching.

关 键 词：三维物体 图像匹配 mASIFT 多平面约束 mRANSAC 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]