DocumentCode
2886179
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
fYear
1991
fDate
16-17 Jun 1991
Firstpage
571
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICCAS.1991.184419
Filename
184419
Link To Document