期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 3 A
页码：228-233
出版社：Copernicus Publications
摘要：This paper presents a new type of stereo matching algorithm called "Stereo Plane Matching". Stereo plane matching adopts least square method under the constraint that all points in an area specified by a polygon should lie on a common plane. This technique uti- lizes the fact that correspondence between stereo images becomes 2-D projective transformation (homography) within an area where a common plane is projected. Three corresponding point pairs on stereo image pair are used for parameterization of geometry of a plane, which allows computation of homography within the polygon. The most powerful feature of this technique is that it can impose geo- metrical constraint in planar direction or position. For example, the target plane can be fixed in horizontal or vertical direction, as well as in other specified direction in 3-D space. Another feature is that it can be applied to unrectified stereo pair, so far as its orientation parameters are known. Experimental results show that this algorithm can measure oblique roof or vertical wall of a building
