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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Photometry-Based Reconstruction

We are concerned with the reconstruction of the 3D world based on the interaction between shape, illumination and material. RGB images provide observations from which we can infer the above, by solving an ill-posed inverse rendering problem. This enables reconstructions with high-frequency geometric information and meaningful albedo estimates, allowing for plausible rendering under novel lighting conditions. We are especially interested in Shape-from-Shading and Photometric Stereo, where the former tries to infer geometry, lighting and appearance from a single image, and the latter attempts to estimate the same desired scene properties from multiple images and different illumination.

Keyword: photometry

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2020
Book Chapters
[] On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting (M Brahimi, Y Quéau, B Haefner and D Cremers), Chapter in Advances in Photometric 3D-Reconstruction (JD Durou, M Falcone, Y Quéau, S Tozza, eds.), Springer International Publishing, 2020.  [bibtex] [pdf] [doi] [pdf]
Journal Articles
[]Photometric Depth Super-Resolution (B. Haefner, S. Peng, A. Verma, Y. Quéau and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 42, 2020. ([supp] [project page] [ieeexplore]) [bibtex] [arXiv:1809.10097] [pdf]
Conference and Workshop Papers
[]Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (L. Sang, B. Haefner and D. Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. ([poster] [presentation] [code] [cvf]) [bibtex] [arXiv:1912.06501] [pdf]Spotlight Presentation
2019
Conference and Workshop Papers
[]Variational Uncalibrated Photometric Stereo under General Lighting (B. Haefner, Z. Ye, M. Gao, T. Wu, Y. Quéau and D. Cremers), In International Conference on Computer Vision (ICCV), 2019. ([supp] [poster] [code] [cvf] [ieeexplore]) [bibtex] [arXiv:1904.03942] [pdf]
[]Photometric Segmentation: Simultaneous Photometric Stereo and Masking (B. Haefner, Y. Quéau and D. Cremers), In International Conference on 3D Vision (3DV), 2019. ([poster] [ieeexplore]) [bibtex] [pdf]Spotlight Presentation
2018
Conference and Workshop Papers
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [code] [cvf] [video]) [bibtex] [pdf] [video]Spotlight Presentation
2017
Conference and Workshop Papers
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (S. Peng, B. Haefner, Y. Quéau and D. Cremers), In International Conference on Computer Vision Workshops (ICCVW), 2017. ([code] [cvf]) [bibtex] [arXiv:1708.00411] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

01.03.2021

We have six papers accepted to CVPR 2021!

01.03.2021

We have two papers accepted to ICRA 2021!

25.01.2021

Rick Szeliski (University of Washington) will give a talk in the TUM AI lecture series on Jan 28th, 5pm! Livestream

10.12.2020

Frank Dellaert (Georgia Tech) will give a talk in the TUM AI lecture series on Dec 17th, 4pm! Livestream

15.10.2020

Jon Barron (Google) will give a talk in the TUM AI lecture series on Oct 22nd, 9pm! Livestream

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