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/W49A
页码：37-42
出版社：Copernicus Publications
摘要：In many vision applications the depth relief of an observed scene is small compared with the extent of the image. Beside man-made environments these scenes may be approximated by a plane. Due to environmental in.uences camera parameters can gradually change which motivates the need for a continuous self-calibration. Based on the theory of recursive parameter estimation we present an update scheme for the parameters to handle endless video streams in real time. The geometric parametrization of the frame to frame homographies allows to incorporate information of other sensors. The application is the visual navigation of robots and unmanned aerial vehicles moving above nearly planar environments. The approach will be empirically evaluated with a synthetic data set and demonstrated with a real data set. A typical example is given by a real data set of an indoor robot observing the ground .oor with one camera
