Realtime 3D Object Detection for Headsets. (arXiv:2201.08812v1 [cs.CV])

Web: http://arxiv.org/abs/2201.08812

Mobile headsets should be capable of understanding 3D physical environments
to offer a truly immersive experience for augmented/mixed reality (AR/MR).
However, their small form-factor and limited computation resources make it
extremely challenging to execute in real-time 3D vision algorithms, which are
known to be more compute-intensive than their 2D counterparts. In this paper,
we propose DeepMix, a mobility-aware, lightweight, and hybrid3D object
detection framework for improving the user experience of AR/MR on mobile
headsets. Motivated by our analysis and evaluation …

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