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Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (bibtex)
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (bibtex)
by L. Sang, B. Haefner and D. Cremers
Reference:
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 Entry:
@inproceedings{sang2020wacv,
 title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach},
 author = {L. Sang and B. Haefner and D. Cremers},
 booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
 month = {March},
 address = {Colorado, USA},
 year = {2020},
 eprint = {1912.06501},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 award = {Spotlight Presentation},
 titleurl = {sang2020wacv.pdf},
 keywords = {3d-reconstruction,rgb-d,photometry},
}
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