Proceedings of the Isprs Commission V Symposium Corfu 2002 Algorithm Developments for Automated Off-line Vision Metrology

The goal of developing automated off-line vision metrology systems has largely been accomplished over recent years. The emphasis of research into measurement automation has thus moved on to implementation of more flexible and robust algorithms and processes in order to both improve performance and better accommodate data errors. This paper describes key features of the automatic measurement operation adopted for the Australis off-line digital close-range photogrammetric system. Particular aspects covered include target detection and validation within image scanning; the design of an exterior orientation device to support initial image orientation; image point correspondence determination based on the geometry of epipolar planes; and the integration of these processing phases with both a preliminary and final bundle adjustment. As well as discussing the fundamental models and computational schemes adopted, the paper will address error handling strategies. It will also consider practical aspects of these developments and briefly report on results of experimental performance tests.