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22 May 2015 Effects of using a 3D model on the performance of vision algorithms
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Abstract
In previous work, we have shown how a 3D model can be built in real time and synchronized with the environment. This world model permits a robot to predict dynamics in its environment and classify behaviors. In this paper we evaluate the effect of such a 3D model on the accuracy and speed of various computer vision algorithms, including tracking, optical flow and stereo disparity. We report results based on the KITTI database and on our own videos.
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D. Paul Benjamin, Damian Lyons, and Robert Lynch "Effects of using a 3D model on the performance of vision algorithms", Proc. SPIE 9498, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015, 94980B (22 May 2015); https://doi.org/10.1117/12.2181225
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