Omnidirectional Egomotion Estimation from Adapted Motion Field

Adapted Approach for Omnidirectional Egomotion Estimation

Intelligent Computer Vision and Image Processing ◽

10.4018/978-1-4666-3906-5.ch001 ◽

2013 ◽

pp. 1-13

Author(s):

A. Radgui ◽

C. Demonceaux ◽

E. Mouaddib ◽

M. Rziza ◽

D. Aboutajdine

Keyword(s):

Optical Flow ◽

Experimental Results ◽

Motion Field ◽

Camera Motion ◽

Spherical Representation ◽

Estimation Process ◽

Error Measures ◽

Egomotion Estimation ◽

Omnidirectional Image ◽

Omnidirectional Images

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in planar-projection imagery in order to address the problem of motion analysis. For omnidirectional images, the 2D motion is often estimated using methods developed for perspective images. This paper adapts motion field calculated using adapted method which takes into account the distortions existing in the omnidirectional image. This 2D motion field is then used as input to the egomotion estimation process using spherical representation of the motion equation. Experimental results are shown and comparison of error measures are given to confirm that succeeded estimation of camera motion will be obtained when using an adapted method to estimate optical flow.

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Adapted Approach for Omnidirectional Egomotion Estimation*

International Journal of Computer Vision and Image Processing ◽

10.4018/ijcvip.2011010101 ◽

2011 ◽

Vol 1 (1) ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

A. Radgui ◽

C. Demonceaux ◽

E. Mouaddib ◽

M. Rziza ◽

D. Aboutajdine

Keyword(s):

Optical Flow ◽

Motion Analysis ◽

Motion Field ◽

Camera Motion ◽

Spherical Representation ◽

Estimation Process ◽

Error Measures ◽

Egomotion Estimation ◽

Omnidirectional Image ◽

Omnidirectional Images

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in planar-projection imagery in order to address the problem of motion analysis. For omnidirectional images, the 2D motion is often estimated using methods developed for perspective images. This paper adapts motion field calculated using adapted method which takes into account the distortions existing in the omnidirectional image. This 2D motion field is then used as input to the egomotion estimation process using spherical representation of the motion equation. Experimental results are shown and comparison of error measures are given to confirm that succeeded estimation of camera motion will be obtained when using an adapted method to estimate optical flow.

Download Full-text