Abstract
With the development of mobile computing powers, augmented reality has reached to common users. The users manipulate virtual contents with the help of tracking techniques. While image markers are affordable for common mobile users, the tracking space is limited due to occlusion. To better democratize augmented reality, we propose ImageCube, a simple and effective solution to enlarge the tracking space of image markers for mobile augmented reality. We design a 3D model and combine image tracking techniques to obtain full 6D motion tracking. We also propose a weighting scheme for smoothly tracking the controller. The controller is inexpensive, stable and easy to deploy. We show some applications to demonstrate the efficiency of the technique.
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Zhang, H., Li, Q., Zhu, L. (2021). ImageCube: A Low-Cost 6D Controller with Smooth Tracking for Mobile Augmented Reality. In: Jain, L.C., Kountchev, R., Shi, J. (eds) 3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 234. Springer, Singapore. https://doi.org/10.1007/978-981-16-3391-1_26
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DOI: https://doi.org/10.1007/978-981-16-3391-1_26
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