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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