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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Computer Vision and Image Understanding
Robust Estimation of Reflectance Functions from Polarization
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International Journal of Computer Vision
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Computer Vision and Image Understanding
International Journal of Computer Vision
Surface reconstruction using polarization and photometric stereo
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Robust shape and polarisation estimation using blind source separation
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
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CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
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Pattern Recognition Letters
An optimisation approach to the recovery of reflection parameters from a single hyperspectral image
Computer Vision and Image Understanding
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This paper presents a method to estimate geometrical,photometrical, and environmental information of a single-viewedobject in one integrated framework under fixed viewingposition and fixed illumination direction. These threetypes of information are important to render a photorealisticimage of a real object. Photometrical information representsthe texture and the surface roughness of an object,while geometrical and environmental information representthe 3D shape of an object and the illumination distribution,respectively. The proposed method estimates the 3D shapeby computing the surface normal from polarization data,calculates the texture of the object from the diffuse only reflectioncomponent, determines the illumination directionsfrom the position of the brightest intensity in the specularreflection component, and finally computes the surfaceroughness of the object by using the estimated illuminationdistribution.