International Journal of Computer Vision
International Journal of Computer Vision
Novel depth cues from light scattering
Image and Vision Computing
ACM SIGGRAPH 2009 Courses
Analysis of Rain and Snow in Frequency Space
International Journal of Computer Vision
Mitigation of visibility loss for advanced camera-based driver assistance
IEEE Transactions on Intelligent Transportation Systems
A novel polychromatic model for light dispersion
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Real-time detection of small surface objects using weather effects
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Depth from images of external outdoor scenes
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
A data driven depth estimation for 3D video conversion
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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Light power is affected when it crosses the atmosphere; there is a simple, albeit non-linear, relationship between the radiance of an image at any given wavelength and the distance between object and viewer. This phenomenon is called atmospheric scattering and has been extensively studied by physicists and meterologists. We present the first analysis of this phenomenon from an image understanding perspective: we investigate a group of techniques for extraction of depth cues solely from the analysis of atmospheric scattering effects in images. Depth from scattering techniques are discussed for indoor and outdoor environments, and experimental tests with real images are presented. We have found that depth cues in outdoor scenes can be recovered with surprising accuracy and can be used as an additional information source for autonomous vehicles.