A line-integration based method for depth recovery from surface normals
Computer Vision, Graphics, and Image Processing
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polarization-based Inverse Rendering from a Single View
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Transparent Surface Modeling from a Pair of Polarization Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Refractive Index from Single-View Spectro-Polarimetric Images
International Journal of Computer Vision
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This paper describes a method for establishing stereo correspondences using diffuse polarization information. To do this we exploit the spontaneous polarization of light caused by reflection from dielectric surfaces to recover surface normals. The normals recovered from two different views are used to locally reconstruct surface height. The similarity between reconstructed surface regions determines whether or not a pair of points correspond to each other. The technique is able to overcome the convex/concave ambiguity found in many single view techniques. As the technique relies on smooth surface regions to detect correspondences it is applicable to objects that normally cause difficulty for stereo vision algorithms.