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cs.CV2023★ 1 cited
vMAP: Vectorised Object Mapping for Neural Field SLAM
Xin Kong, Shikun Liu, Marwan Taher +1
We present vMAP, an object-level dense SLAM system using neural field representations. Each object is represented by a small MLP, enabling efficient, watertight object modelling wi…
cs.CV2023
Learning a Depth Covariance Function
Eric Dexheimer, Andrew J. Davison
We propose learning a depth covariance function with applications to geometric vision tasks. Given RGB images as input, the covariance function can be flexibly used to define prior…