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Neural RGB→D Sensing: Depth and Uncertainty from a Video Camera (CVPR 2019)
Authors: Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz
Affiliations: NVIDIA, Carnegie Mellon University, SenseTime
The main ideas here are:
- Estimate a "depth probability distribution" rather than a single value
- For each image, we get a "Depth Probability Volume (DPV)" representing a depth MLE and an uncertainty measure.
- Accumulate DPV estimates across time or across frames.
Method
Architecture
Evaluation
References
