Title
Three-dimensional ego-motion estimation from motion fields observed with multiple cameras
Abstract
In this paper, we present a robust method to estimate the three-dimensional ego-motion of an observer moving in a static environment. This method combines the optical flow fields observed with multiple cameras to avoid the ambiguity of 3-D motion recovery due to small field of view and small depth variation in the field of view. Two residual functions are proposed to estimate the ego-motion for different situations. In the non-degenerate case, both the direction and the scale of the three-dimensional rotation and translation can be obtained. In the degenerate case, rotation can still be obtained but translation can only be obtained up to a scale factor. Both the number of cameras and the camera placement affect the accuracy of the estimated ego-motion. We compare different camera configurations through simulation. Some results of real-world experiments are also given to demonstrate the benefits of our method.
Year
DOI
Venue
2001
10.1016/S0031-3203(00)00092-3
Pattern Recognition
Keywords
Field
DocType
Ego-motion estimation,Multiple sensors,Optical flow
Field of view,Scale factor,Computer vision,Residual,Motion field,Degeneracy (mathematics),Artificial intelligence,Motion estimation,Observer (quantum physics),Optical flow,Mathematics
Journal
Volume
Issue
ISSN
34
8
0031-3203
Citations 
PageRank 
References 
10
0.57
23
Authors
4
Name
Order
Citations
PageRank
Yong-Sheng Chen131430.12
Lin-Gwo Liou2505.33
Yi-Ping Hung31743168.25
Chiou-Shann Fuh464756.08