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：2007
卷号：XXXVI-3/W49B
页码：167-172
出版社：Copernicus Publications
摘要：In this paper we want to start the discussion on whether image based 3-D modelling techniques and especially multi-view stereo can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera self-calibration and (ii) dense multi-view depth estimation. To investigate both, we have acquired test data from outdoor scenes with LIDAR and cameras. Using the LIDAR data as reference we provide an evaluation procedure to these two major parts of the 3D model building pipeline. The test images are available for the community as benchmark data
关键词：LIDAR; self-calibration; evaluation; multi-view stereo; Bayesian generative model based stereo
