International Journal of Computer Vision
Introduction: Computer Vision Research at NECI
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Shadows, Shading, and Projective Ambiguity
Shape, Contour and Grouping in Computer Vision
Estimation of multiple directional light sources for synthesis of augmented reality images
Graphical Models - Special issue on Pacific graphics 2002
The Raxel Imaging Model and Ray-Based Calibration
International Journal of Computer Vision
A unified framework for scene illuminant estimation
Image and Vision Computing
Estimation of multiple directional illuminants from a single image
Image and Vision Computing
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Traditional light source modelling is concerned with specific types of light sources, the two most common of which are point sources and daylight. Little attempt has been made, however, to relate different types of sources to each other. For example, how may the lighting from an overcast sky be compared to that from a lamp? Having a theoretical framework to compare different types of light sources is important for computer vision, in particular for understanding shading and shadow cues. A vision system needs to take account of the light source in order to interpret these cues. In this paper, we present a framework for comparing types of light sources which is based on a dimensional analysis of the set of light rays in a free space. Specifically, we introduce a 4-D light source hypercube in which the different types of sources may be embedded and compared. We also present a novel definition for light sources which generalizes the standard definition of a source as an emitter.