Title :
An approach to improve the robustness of estimating 3-D motion parameters from monocular and binocular image sequences
Author :
Hong, Fan ; Baozong, Yuan
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
On the basis of the Cayley transform, this paper proposes a linear algorithm for determining 3-D motion parameters of a rigid body in monocular and binocular cases. Since the computation for rotation parameters is simplified from nine variables to three variables in the algorithm, the complexity of the computation is reduced so that the reliability and the stability are improved. Simulation experiments show that the relative error of the rotation matrix is up to 5%, while the relative error of the intermediate parameters is about 50%, caused by the truncation error of image data in the monocular case
Keywords :
computer vision; computerised picture processing; parameter estimation; stability; transforms; 3D motion parameters; Cayley transform; binocular image sequences; computer vision; linear algorithm; monocular image sequence; parameters estimation robustness; reliability; rigid body; rotation matrix; rotation parameters; simulation; stability; Cameras; Computational modeling; Computer errors; Computer vision; Finite wordlength effects; Image sequences; Motion analysis; Motion estimation; Parameter estimation; Robustness;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184419