Deep Synthetic Noise Generation for RGB-D Data Augmentation
Considerable effort has been devoted to finding reliable methods of correcting noisy RGB-D images captured with unreliable depth-sensing technologies. Supervised neural networks have been shown to be capable of RGB-D image correction, but require copious amounts of carefully-corrected ground-truth d...
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| Format: | Others |
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BYU ScholarsArchive
2019
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| Online Access: | https://scholarsarchive.byu.edu/etd/7516 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8516&context=etd |