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Proceedings Paper

Effects of using a 3D model on the performance of vision algorithms
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Paper 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.

Paper Details

Date Published: 22 May 2015
PDF: 7 pages
Proc. SPIE 9498, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015, 94980B (22 May 2015); doi: 10.1117/12.2181225
Show Author Affiliations
D. Paul Benjamin, Pace Univ. (United States)
Damian Lyons, Fordham Univ. (United States)
Robert Lynch, Analytic Information Fusion Systems, LLC (United States)


Published in SPIE Proceedings Vol. 9498:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015
Jerome J. Braun, Editor(s)

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