建筑物场景宽基线图像的准稠密匹配-计算机科学与探索-计算机工程.pdf

ISSN 1673-9418 CODEN JKYTA8 E-mail: fcst@ Journal of Frontiers of Computer Science and Technology 1673-9418/2010/04(12)-1089-12 Tel: +86-10 DOI: 10.3778/j.issn.1673-9418.2010.12.003 * 1 1,2 1+ , , 1. , 100190 2. , 100190 * Quasi-dense Matching for Wide Baseline Images of Building Scene 1 1,2 1+ CHEN Zhanjun , DAI Zhijun , WU Yihong 1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2. Intelligence Engineering Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China + Corresponding author: E-mail: yhwu@ CHEN Zhanjun, DAI Zhijun, WU Yihong. Quasi-dense matching for wide baseline images of building scene. Journal of Frontiers of Computer Science and Technology, 2010, 4(12): 1089-1100. Abstract: Textures of outdoor buildings are generally repetitive and locally insufficient. Previous quasi-dense matching methods do not work well on such wide baseline images because the obtained initial seeds are not enough and have matching ambiguity when propagating. This paper proposes an efficient quasi-dense matching algorithm for wide baseline images of building scene, of which MSERDoG(maximally stable extremal regions on difference of Gaussian space) is given to obtain more initial seed matches, and then affine propagation with adaptive support- weight score is used to have bette