Paper
22 May 2015 Effects of using a 3D model on the performance of vision algorithms
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
3D modeling

Visual process modeling

Data modeling

Cameras

3D vision

Cognitive modeling

Remote sensing

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