Instant 3D Object Tracking with Applications in Augmented Reality

• URL: http://arxiv.org/abs/2006.13194v1
• Date: Tue, 23 Jun 2020 17:48:29 GMT
• Title: Instant 3D Object Tracking with Applications in Augmented Reality
• Authors: Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, Matthias Grundmann
• Abstract summary: Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space in real-time on mobile devices.
• Score: 4.893345190925178
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space (represented by its 3D bounding box) in real-time on mobile devices. Our system does not require any prior sensory calibration or initialization to function. We employ a deep neural network to detect objects and estimate their initial 3D pose. Then the estimated pose is tracked using a robust planar tracker. Our tracker is capable of performing relative-scale 9-DoF tracking in real-time on mobile devices. By combining use of CPU and GPU efficiently, we achieve 26-FPS+ performance on mobile devices.

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