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Fast Depth Densification for Occlusion-Aware Augmented Reality

Fast Depth Densification for Occlusion-Aware Augmented Reality Aleksander Holynski Johannes Kopf University of Washington Facebook Abstract Current AR systems only track sparse geometric features but do not compute depth for all pixels. For this reason, mo

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Future challenges for vection research: definitions, functional significance, measures, and neural bases

This paper discusses four major challenges facing modern vection research. Challenge 1 (Defining Vection) outlines the different ways that vection has been defined in the literature and discusses their theoretical and experimental ramifications. The term v

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