Ego-motion estimation using optical flow fields observed from multiple cameras
Journal
1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pages
457-462
Date Issued
1997-06
Date
1997-06
Author(s)
DOI
N/A
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.
Type
conference paper
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