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RESEARCH PRODUCT
Visual Behaviour Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics
Abd El Rahman ShabayekDavid FofiOlivier Morelsubject
EngineeringpolarizationVisual perceptionColor visionbusiness.industryVisionCognitive neuroscience of visual object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robotics02 engineering and technologyPolarization (waves)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 opticsCamouflageBio-inspired0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionVisual behaviourDetection theoryArtificial intelligencebusinessdescription
For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehensive survey highlighting the key principles of polarization based techniques and how they are biologically inspired.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-03-19 |