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data:software [2018/02/08 11:54]
Bjoern Haefner
data:software [2018/05/22 04:23] (current)
Nikolaus Demmel
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 We provide the following software libraries as open-source to the scientific community. \\ We provide the following software libraries as open-source to the scientific community. \\
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 +|{{:​spezial:​bib:​bergmann17calibration.png?​120|}}| Our implementation for online photometric calibration can be found on {{https://​github.com/​tum-vision/​online_photometric_calibration| GitHub}}. For more information,​ see also {{:​research:​vslam:​photometric-calibration}}. The method is described in our {{ :​spezial:​bib:​bergmann17calibration.pdf |research paper}}: **Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM** (P. Bergmann, R. Wang, D. Cremers), In IEEE Robotics and Automation Letters (RA-L), volume 3, 2018. |
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 |{{:​spezial:​bib:​peng2017iccvw.png?​120|}}| This [[https://​github.com/​BjoernHaefner/​SRmeetsPS|software framework]] provides MATLAB (or [[https://​github.com/​BjoernHaefner/​SRmeetsPS-CUDA|CUDA]]) code to perform depth map super-resolution using uncalibrated photometric stereo. The method is described in our {{ :​spezial:​bib:​peng2017iccvw.pdf |research paper}}: **Depth Super-Resolution Meets Uncalibrated Photometric Stereo** (S. Peng, B. Haefner, Y. Quéau and D. Cremers), In ICCV Workshop on Color and Photometry in Computer Vision, 2017.| |{{:​spezial:​bib:​peng2017iccvw.png?​120|}}| This [[https://​github.com/​BjoernHaefner/​SRmeetsPS|software framework]] provides MATLAB (or [[https://​github.com/​BjoernHaefner/​SRmeetsPS-CUDA|CUDA]]) code to perform depth map super-resolution using uncalibrated photometric stereo. The method is described in our {{ :​spezial:​bib:​peng2017iccvw.pdf |research paper}}: **Depth Super-Resolution Meets Uncalibrated Photometric Stereo** (S. Peng, B. Haefner, Y. Quéau and D. Cremers), In ICCV Workshop on Color and Photometry in Computer Vision, 2017.|

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