Adapted Approach for Omnidirectional Egomotion Estimation*

Abstract

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.

Edge Detection by Maximum Entropy

“…In this section we calculate for each pixel, the adjusted neighborhood to the parameters of the device used (Radgui et al, 2010), then calculate its entropy. The rest of the algorithm is the same used for perspective images.…”