一种透视不变的图像匹配算法
A Perspective Invariant Image Matching Algorithm
摘要
Abstract
To solve the problem of affine transform and discrete sampling in ASIFT (Affine scale invariant feature transform),the PSIFT (Perspective scale invariant feature transform),which is based on particle swarm optimization,is proposed in this paper.The proposed algorithm uses a virtual camera and homographic transform to simulate perspective distortion among multi-view images.Therefore,particle swarm optimization is employed to determine the appropriate homography,which is decomposed into three rotation matrices.Experimental results obtained on three categories of low-altitude remote sensing images show that the proposed method outperforms significantly the state-of-the-art ASIFT,SIFT,Harris-affine and MSER,especially when images suffer severe perspective distortion.关键词
图像匹配/透视变换/SIFT特征/粒子群优化Key words
Image matching/perspective transform/SIFT (Scale invariant feature transform) feature/particle swarm optimization (PSO)引用本文复制引用
蔡国榕,李绍滋,吴云东,苏松志,陈水利..一种透视不变的图像匹配算法[J].自动化学报,2013,39(7):1053-1061,9.基金项目
国家自然科学基金(61103052,61202143),国家教育部博士点基金(20090121110032),福建省产学重大科技项目(2011H6020),福建省自然科学基金项目(2011J01013,2013J01245,2013J05100)深圳市科技计划项目(JC200903180630A,ZYB200907110169A),厦门市科技计划项目(3502Z20123022,3502Z20110010),福建省教育厅基金项目(JK2012025)资助 （61103052,61202143）
Supported by National Natural Science Foundation of China (61103052,61202143),the National Research Foundation for the Doctoral Program of Higher Education of China (20090121110032),the Key Project for Industry-AcademiaResearch of Fujian Province (2011H6020),the Natural Science Foundation of Fujian Province (2011J01013,2013J01245,2013J05100),Shenzhen Science and Technology Research Foundation (JC200903180630A,ZYB200907110169A),the Natural Science Foundation of Xiamen City (3502Z20123022,3502Z20110010),and the Projects of Education Department of Fuiian Province (JK2012025) （61103052,61202143）
