Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More


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

Contact


Export as PDF, XML, TEX or BIB

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]) [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]) [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
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More