CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
The representation of geometry in real-time 3D perception systems continues to be a critical research issue. Dense maps capture complete surface shape and can be augmented with semantic labels, but their high dimensionality makes them computationally costly to store and process, and unsuitable for rigorous probabilistic inference... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
CodeSLAM
|
3D Reconstruction |