Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras

Authors:
An-Ting Tsao;Chiou-Shann Fuh;Yi-Ping Hung;Yong-Sheng Chen
Affiliations:
-;-;-;-
Venue:
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Year:
1997

Citing 0
Cited 3

New Eyes for Shape and Motion Estimation

BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Linear Quasi-Parallax SfM Using Laterally-Placed Eyes

International Journal of Computer Vision
Recursive estimation of motion and a scene model with a two-camera system of divergent view

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we consider a multi-camera vision system mounted on a moving object in a static three-dimensional environment. By using the motion flow fields seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical flow fields obtained from different cameras can be very helpful for ego-motion estimation.