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Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing
Author(s) -
Yvain Quéau,
Mathieu Pizenberg,
JeanDenis Durou,
Daniel Cremers
Publication year - 2017
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2266080
Subject(s) - rgb color model , photometric stereo , computer vision , artificial intelligence , albedo (alchemy) , opacity , computer science , computer graphics (images) , image (mathematics) , optics , physics , art , performance art , art history
We present a photometric stereo-based system for retrieving the RGB albedo and the fine-scale details of an opaque surface. In order to limit specularities, the system uses a controllable diffuse illumination, which is calibrated using a dedicated procedure. In addition, we rather handle RAW, non-demosaiced RGB images, which both avoids uncontrolled operations on the sensor data and simplifies the estimation of the albedo in each color channel and of the normals. We finally show on real-world examples the potential of photometric stereo for the 3D-reconstruction of very thin structures from a wide variety of surfaces.

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