Deep 6-DOF Tracking.
IEEE Transactions on Visualization and Computer Graphics(2017)
摘要
We present a temporal 6-DOF tracking method which leverages deep learning to achieve state-of-the-art performance on challenging datasets of real world capture. Our method is both more accurate and more robust to occlusions than the existing best performing approaches while maintaining real-time performance. To assess its efficacy, we evaluate our approach on several challenging RGBD sequences of ...
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关键词
Robustness,Cameras,Real-time systems,Rendering (computer graphics),Three-dimensional displays,Machine learning,Neural networks,Augmented reality,Tracking
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