Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing

Yvain Quéau (1) , Matthieu Pizenberg (2) , Jean-Denis Durou (2) , Daniel Cremers (1)

1 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
2 IRIT-REVA - Real Expression Artificial Life

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 w.r.t. each color channel and of the normals. We eventually show on real-world examples the potential of photometric stereo for the 3D-reconstruction of very thin structures from a wide variety of surfaces.

Mots clés: Demosaicing; Channel; Photometric stereo; Estimation theory

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Yvain Quéau, Matthieu Pizenberg, Jean-Denis Durou, Daniel Cremers. Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing. 13th International Conference on Quality Control by Artificial Vision (QCAV 2017), May 2017, Tokyo, Japan. pp. 1, ⟨10.1117/12.2266080⟩. ⟨hal-01712549⟩