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：2010
卷号：XXXVIII - Part 3A
页码：186-191
出版社：Copernicus Publications
摘要：Virtual navigation in remote environments can be achieved by building an image-based model made of multiple panoramas gatheredfrom cameras moving around the scene. In such models, it could be useful to acquire knowledge of the 3D structure of the scene. Inthis paper, we propose a method that constructs a sparse but rich 3D representation of a scene, given a set of calibrated panoramicimages. The proposed method is a heuristic search algorithm that, given calibrated panoramic images, finds 3D points that correspondto the surfaces of objects in the scene. The algorithm constructs a set of 3D points by searching for matching edge pixels in pairs ofimages using the epipolar constraint. Empirical results show that the proposed method performs well at locating 3D points of interestin different scenes
关键词：panorama; structure from motion; 3D reconstruction; image-based modeling
