Learning models for visual 3D localization with implicit mapping

arXiv: Computer Vision and Pattern Recognition, Volume abs/1807.03149, 2018.

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Abstract:

We propose a formulation of visual localization that does not require construction of explicit maps in the form of point clouds or voxels. The goal is to learn an implicit representation of the environment at a higher, more abstract level, for instance that of objects. To study this approach we consider procedurally generated Minecraft wo...More

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