6533b7d0fe1ef96bd125a361
RESEARCH PRODUCT
Adapted Approach for Omnidirectional Egomotion Estimation
Amina RadguiDriss AboutajdineEl Mustapha MouaddibM. RzizaCédric Demonceauxsubject
0209 industrial biotechnologyMotion analysisbusiness.industryComputer sciencePerspective (graphical)Optical flow[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equations of motion020207 software engineering02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessOmnidirectional antennaComputingMilieux_MISCELLANEOUSdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-01-01 |