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：2009
卷号：XXXVIII-3/W4
页码：217-222
出版社：Copernicus Publications
摘要：Laser data and optical data have a complementary nature to 3D features' extraction. Building reconstruction by fusion of the two data sources can reduce the complexity of approaches from either side. In this paper we present a model refinement method, which uses the strong lines extracted from close-range images to improve building models reconstructed from terrestrial laser point clouds. First, model edges are projected from model space to image space. Then significant line features are extracted from an image with Canny edge detector and Hough transformation. Each model edge is then compared with its neighboring image lines to determine the best match. Finally the model edges are updated according to their corresponding image lines. The refinement process not only fixes certain geometry errors of the original models, but also adapts the models to the image data, so that more accurate texturing is achieved
关键词：building reconstruction; data fusion; image interpretation
