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Real-time 3D object detection on low CPU headsets

Real-time 3D object detection on low CPU headsets


Realtime 3D Object Detection for Headsets



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


... propose DeepMix, a mobility-aware, lightweight, and hybrid 3D object detection framework


... DeepMix intelligently combines edge-assisted 2D object detection and novel, on-device 3D bounding box estimations that leverage depth data captured by headsets.


... achieves 30 FPS (i.e., an end-to-end latency much lower than the 100 ms stringent requirement of interactive AR/MR).


... implement a prototype of DeepMix on Microsoft HoloLens ... improves detection accuracy by 9.1-37.3% but also reduces end-to-end latency by 2.68- 9.15x ...



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