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We present an efficient pose tracking method for mobile augmented reality. Although the conventional pyramid-based coarse-to-fine approach has good precision and robustness, it is too complex for low-spec mobile devices and speeding up pose tracking is essential. The proposed method focuses on the rapidity and linearity of the movement between successive frames, and omits unnecessary processing such...
We present a novel vision-based pose detection method that can be used in mobile AR services. Conventional methods are unable to meet all the requirements such as complexity, robustness and memory consumption for mobile AR services because of their trade-off relationship. In this paper, we propose a novel key point registration approach to solve the problem. Our registration method detects key point...
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