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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},
doi = {10.1109/WACV45572.2020.9093491},
eprint = {1912.06501},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Spotlight Presentation},
titleurl = {sang2020wacv.pdf},
keywords = {3d-reconstruction,rgb-d,photometry},
}
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