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data:software [2018/02/08 11:54]
haefner |
data:software [2018/05/22 04:23]
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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