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Proceedings Paper

Optimal motion parameters and structure estimation of a rigid object from a monocular image sequence
Author(s): Guanghui Ouyang; Jixiang Sun; Xiaohua Wang; Hong Li; Shan Zhong
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Paper 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

Paper Details

Date Published: 12 December 1997
PDF: 12 pages
Proc. SPIE 3173, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement, (12 December 1997); doi: 10.1117/12.294531
Show Author Affiliations
Guanghui Ouyang, National Univ. of Defense Technology (China)
Jixiang Sun, National Univ. of Defense Technology (China)
Xiaohua Wang, National Univ. of Defense Technology (China)
Hong Li, National Univ. of Defense Technology (China)
Shan Zhong, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 3173:
Ultrahigh- and High-Speed Photography and Image-based Motion Measurement
C. Bruce Johnson; Andrew Davidhazy; James S. Walton; Takeharu Goji Etoh; C. Bruce Johnson; Donald R. Snyder; James S. Walton, Editor(s)

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