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Technical University of Munich

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Home Members Dr. Yvain Queau

Dr. Yvain Queau

Postdoctoral ResearcherTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17784
Fax: +49-89-289-17757
Office: 02.09.053
Mail: yvain.queau@in.tum.de

Full academic CV: cv_yvain_queau.pdf

Full publication list: publication_list_yvain_queau.pdf

Additional information is available on my homepage

(Matlab) codes for shape-from-shading, photometric stereo, and normal integration available on my github

Publications since I joined TUM in September 2016

Journal Articles
2017
Variational Reflectance Estimation from Multi-view Images (J. Mélou, Y. Quéau, J.-D. Durou, F. Castan, D. Cremers), In Arxiv preprint 1709.08378, 2017.([arxiv]) [bib] [pdf]
Variational Methods for Normal Integration (Y. Quéau, J.-D. Durou, J.-F. Aujol), In Journal of Mathematical Imaging and Vision, 2017.([arxiv],[codes]) [bib] [pdf] [doi]
Normal Integration: A Survey (Y. Quéau, J.-D. Durou, J.-F. Aujol), In Journal of Mathematical Imaging and Vision, 2017.([arxiv],[codes]) [bib] [pdf] [doi]
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution (Y. Quéau, B. Durix, T. Wu, D. Cremers, F. Lauze, J.-D. Durou), In Journal of Mathematical Imaging and Vision, 2017.([arxiv],[codes]) [bib] [pdf] [doi]
Fast and accurate surface normal integration on non-rectangular domains (M. Bähr, M. Breuß, Y. Quéau, A. S. Bouroujerdi, J.-D. Durou), In Computational Visual Media, volume 3, 2017. [bib] [pdf] [doi]
Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution (Y. Quéau, R. Mecca, J.-D. Durou, X. Descombes), In Image and Vision Computing, volume 57, 2017. [bib] [pdf] [doi]Editor's choice
2016
A Single-Lobe Photometric Stereo Approach for Heterogeneous Material (R. Mecca, Y. Quéau, F. Logothetis, R. Cipolla), In SIAM Journal on Imaging Sciences, volume 9, 2016. [bib] [pdf] [doi]
Conference and Workshop Papers
2017
A Variational Approach to Shape-from-shading Under Natural Illumination (Y. Quéau, J. Mélou, F. Castan, D. Cremers, J.-D. Durou), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017.([codes]) [bib] [pdf]
Depth Super-Resolution Meets Uncalibrated Photometric Stereo (S. Peng, B. Haefner, Y. Quéau, D. Cremers), In International Conference on Computer Vision Workshops (ICCVW), 2017.([code],[cvf]) [bib] [pdf]
Stéréophotométrie microscopique sans démosaïquage (Y. Quéau, M. Pizenberg, D. Cremers, J.-D. Durou), In GRETSI, 2017. [bib] [pdf]
Dense Multi-view 3D-reconstruction Without Dense Correspondences (Y. Quéau, J. Mélou, J.-D. Durou, D. Cremers), In ArXiv preprint 1704.00337, 2017.([arxiv]) [bib] [pdf]
A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting (Y. Quéau, T. Wu, F. Lauze, J.-D. Durou, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.([codes]) [bib] [pdf]
Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data (F. Lauze, Y. Quéau, E. Plenge), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. [bib] [pdf]
Beyond Multi-view Stereo: Shading-Reflectance Decomposition (J. Mélou, Y. Quéau, J.-D. Durou, F. Castan, D Cremers), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. [bib] [pdf]
Semi-Calibrated Near-Light Photometric Stereo (Y. Quéau, T. Wu, D. Cremers), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.([codes]) [bib] [pdf]
Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing (Y. Quéau, M. Pizenberg, J.-D. Durou, D. Cremers), In International Conference on Quality Control by Artificial Vision (QCAV), 2017.([codes]) [bib] [pdf]
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Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

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