S. Iu and K. Wohn, "Estimation of General Rigid Body Motion From a Long Sequence of Images", in International Conference on Pattern Recognition. Institute of Electrical and Electronic Engineers, 1990, pp. 217--219.  Home/Search   Document Not in Database   Summary   Related Articles

....a set of relatively sparse set of image features (corners, lines, regions, etc. over two or more time sequential images. In contrast, optical flow based techniques estimate instantaneous 3 D motion from dense image plane velocity data. Feature based estimation can be subdivided into recursive [1][4][5] and batch [6] 7] formulations. This paper focuses on recursive estimation, which is better suited for on line applications. In [1] a nonlinear dynamical system is formulated, and linearized using an Iterated Extended Kalman filter (IEKF) Wu et al. 8] adopt a similar approach, except ....

.... Extended Kalman filter (IEKF) Wu et al. 8] adopt a similar approach, except assume a priori knowledge about object structure, i.e. the configuration of the feature points within an object centered system, resulting in a simplified measurement function compared to [1] The formulation in [4] is also simpler than in [1] except it assumed that the centre of rotation is always visible, which appears difficult in practice to achieve. Silv en and Repo [9] have recently developed an integrated monocular visual tracking system, with an emphasis on real time operation. Finally, ....

S. Iu and K. Wohn, "Estimation of General Rigid Body Motion From a Long Sequence of Images", in International Conference on Pattern Recognition. Institute of Electrical and Electronic Engineers, 1990, pp. 217--219.

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