Local Analysis for 3D Reconstruction of Specular Surfaces - Part II
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Image invariants for smooth reflective surfaces
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Multi-view stereo beyond lambert
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Rapid classification of specular and diffuse reflection from image velocities
Pattern Recognition
Highlight microdisparity for improved gloss depiction
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
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A glossy highlight, viewed stereoscopically, can provide information about surface shape. For example, highlights appear to lie behind convex surfaces but in front of concave ones. A highlight is a distorted, reflected image of a light source. A ray equation is developed to predict the stereo disparities generated when a point source of light is reflected in a smooth, curved surface. This equation can be inverted to infer surface curvature properties from observed stereo disparities of the highlight. To obtain full information about surface curvature in the neighbourhood of the highlight, stereo with two different baselines or stereo with motion parallax is required. The same ray equation can also be used to predict the monocular appearance of a distributed source. A circular source, for instance, may produce an elliptical specular patch in an image, and the dimensions of the ellipse help to determine surface shape.