12 December 1997 Optimal motion parameters and structure estimation of a rigid object from a monocular image sequence
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Abstract
In this paper, we propose the optimal estimation of motion parameters and structures ofa three-dimensional(3-D) rigid object from a monocular image sequence. First, object motion model and camera imaging model are discussed. And then, through further analysis, the state equation and measurement equation of the object is established, an iterated extended Kalman filtering(IEKF) algorithm is adopted when the estimated system is continuous and nonlinear. The simulative numerical experiments have shown that the presented method is efficient. Keywords: 3-D object recognition, motion parameters and structures estimation, monocular image sequence, motion model, imaging model, Kalman filtering
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Guanghui Ouyang, Guanghui Ouyang, Jixiang Sun, Jixiang Sun, Xiaohua Wang, Xiaohua Wang, Hong Li, Hong Li, Shan Zhong, Shan Zhong, } "Optimal motion parameters and structure estimation of a rigid object from a monocular image sequence", Proc. SPIE 3173, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement, (12 December 1997); doi: 10.1117/12.294531; https://doi.org/10.1117/12.294531
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