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：2005
卷号：XXXVI-5/W17
出版社：Copernicus Publications
摘要：In this paper, we present an algorithm, which automatically generates textured meshes of building facades from a set of multi over- lapping calibrated and oriented images. We are in a context of massive data production and aim at high geometric accuracy. The central idea is to create a 3D point cloud. After comparison between object-space and image-space techniques, we choose the latter and compute the depths of the pixels in each image using a correlation-based method. A post-processing step is necessary to filter points according to a confidence index and remove the sparse speckle noise. We then perform a global optimization to find a regularized surface. Finally, the 3D point cloud is triangulated. The resulting mesh is an accurate representation of the facade surface from each image view point. We obtain promising results, with a correct texture projection on the reconstructed model
关键词：Surface Reconstruction; Digital Facade Models; Global Optimization; Multi-Image Matching; Terrestrial; Urban; ; Photogrammetry
