Abstract: Focusing on the occlusion problem in multi-view image matching, this paper presents one new dense matching algorithm for multi-view image by integrating the feature points in image object and plane elements in the space object, which are based on the space plane divided in regular grids. Firstly, it realizes the simultaneously matching of feature points and plane elements by the constrains of the projection ranges of feature points in multi-view image and the positions of plane elements, and provides a reliable initial DSM for the next dense matching; Then it carries on the dense matching of regular distribution plane elements by combining the Vertical Line Locus method and the Height-based Occlusion Detection method, and densifies the initial matching results; Finally, the validity of the algorithm proposed in this paper is verified by the experiments using four UltraCamX (UCX) digital aerial images.

Key words: multi-view image matching, feature point in image object, plane element in space object, occlusion detection, Vertical Line Locus