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：2008
卷号：XXXVII Part B3a
页码：21-26
出版社：Copernicus Publications
摘要：This paper discusses issues for matching point features in structure from motion, i.e., pose estimation and 3D reconstruction. As our building block are image triplets for which matches can be checked also geometrically, we discuss the issues for triplets based on partial or final results of a complete system for structure from motion. Particularly, we analyze and try to give answers to the following three questions: Shall all good matches be used or only the best matches. Does covariance information help. and finally – Is least-squares matching useful. We discuss the issues also from a theoretical point of view, but we mostly address them empirically by means of three suitable, i.e., difficult examples, as we found that answers to the above questions are strongly tied to the characteristics of real data
关键词：Computer Vision; Matching; Accuracy Analysis; Machine Vision; Close Range Photogrammetry; Sensor orientation
