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：381-386
出版社：Copernicus Publications
摘要：We present a set of algorithms that recovers detailed building surface structures from multiple images taken under normal urban conditions, where severe occlusions and lighting variations occur and are difficult to be modeled effectively. An iterative weighted-average algorithm is designed to recover high-quality consensus texture of the wall facades. A generic algorithm is developed to extract the 2D microstructures. Depth is estimated and combined with 2D structures to obtain 3D structures, facilitating urban site model refinement and visualization
关键词：Texture; Surface Geometry; Texture Fusion; Microstructure; Urban Site Reconstruction
