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：2004
卷号：XXXV Part B5
页码：730-734
出版社：Copernicus Publications
摘要：Acquisition of pose parameters of moving objects is an impor tant problem in many fields. This paper proposed a method to obtain pose parameters of moving object (mainly aircraf t) from image sequence under assumptions of monocular and perspective view as well as known 3D shape and initial pose parameters of objects. Firstly image sequence is captured by optical-electric phototheodolite. Based these images, a method for aircraf t pose measurement from image sequence has been deeply studied from the view of photogrammetry and projective geometry. A novel idea, Parapoint Feedback Iteration, has been presented and used in aircraf t pose measurement. Firstly, we derive nonlinear equations to estimate pose parameter with the correspondence between image featur e and model feature. To solve the nonlinear equations, at first several frames several control points must be selected manually and a DLT (Direct Linear Transform) algorithm has been used to provide approximate value, in the following frames Kalman filter can be used to predict motion parameter of next frame as approximate value. To get the accurate parameters, Parapoint Feedback Iter ation algorithm has been used. Several sets of data have been used to test the method and results show its reliability and robustness
