6533b7defe1ef96bd1275f87
RESEARCH PRODUCT
Adapted processing of catadioptric images using polarization imaging
Saleh MosaddeghOlivier MorelSamia Ainouz-zemoucheDavid Fofisubject
Pixelbusiness.industry010401 analytical chemistryNonparametric statistics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyImage planePolarization (waves)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesEdge detection0104 chemical sciencesInterest point detectionCatadioptric system[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringDegree of polarization020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSMathematicsdescription
A non parametric method that defines a pixel neighborhood within catadioptric images is presented in this paper. It is based on an accurate modeling of the mirror shape by using polarization imaging. Unlike the most of current processing methods in the literature, this method is non-parametric and can deal with the deformation of catadioptric images. This paper demonstrates how an appropriate neighborhood can be derived from the polarization parameters by estimation of the degree of polarization and the angle of polarization which in return directly provide an adapted neighborhood of each pixel that can be used to perform image derivation, edge detection, interest point detection and namely image matching, all in the catadioptric image plane.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-11-01 |