Jianing Wei
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Instant 3D Object Tracking with Application in Augmented Reality
Adel Ahmadyan
Artsiom Ablavatski
Liangkai Zhang
Tingbo Hou
CVPR Fourth Workshop on Computer Vision for AR/VR (2020)
Preview abstract
Tracking object poses in 3D is an important technology in augmented reality applications.
We propose an instant motion tracking system that tracks the object's pose (3D bounding box) in real-time on mobile devices. Our system does not require any prior sensory calibration or initialization sequence to perform.
Objects are detected and their initial 3D pose is estimated using a deep neural network.
Then the estimated pose is tracked using a robust planar tracker.
Our tracker is capable of performing relative-scale 6-DoF tracking in real-time on mobile devices.
By combining CPU and GPU usage efficiently, we get 25-FPS+ performance on mobile devices.
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Instant Motion Tracking and Its Applications to Augmented Reality
Tyler Randall Mullen
Adel Ahmadyan
Tingbo Hou
CVPR Workshop on Computer Vision for Augmented and Virtual Reality 2019, IEEE, Long Beach, CA
Preview abstract
Augmented Reality (AR) brings immersive experiences to users. With recent advances in computer vision and mobile computing, AR has scaled across platforms, and increased adoption in major products. A critical component of AR is to understand and track real environments. In this paper, we present a system for motion tracking, which is capable of robustly tracking planar targets and performing relative-scale 6DoF tracking without calibration. Our system runs in real-time on mobile and has been deployed in multiple major products on hundreds of millions of devices.
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