DocumentCode
1742368
Title
Estimation of 2D motion field based on affine geometric invariance
Author
Jianchao, Yao
Author_Institution
Signal Process. Lab., DSO Nat. Labs., Singapore
Volume
3
fYear
2000
fDate
2000
Firstpage
1037
Abstract
A novel algorithm of measuring visual motion induced by egomotion of camera was developed from two views. In this algorithm, by using the geometric invariance, the correspondence of any image point can be obtained by solving a system of 5 linear equations. Using the second order cone programming the ill-conditioned least squares produced by utilisation of bilinear estimation scheme was successfully solved. The validity of the approach is verified by the experiment results
Keywords
computational geometry; computer vision; invariance; mathematical programming; motion estimation; 2D motion estimation; affine geometric invariance; computer vision; cone programming; image point; least squares; Cameras; Equations; Laboratories; Layout; Least squares methods; Motion estimation; Motion measurement; Robustness; Signal processing algorithms; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903723
Filename
903723
Link To Document