Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10998326 | Opto-Electronics Review | 2017 | 9 Pages |
Abstract
This paper presents a 3D distance measurement accuracy improvement for stereo vision systems using optimization methods A Stereo Vision system is developed and tested to identify common uncertainty sources. As the optimization methods are used to train a neural network, the resulting equation can be implemented in real time stereo vision systems. Computational experiments and a comparative analysis are conducted to identify a training function with a minimal error performance for such method. The offered method provides a general purpose modelling technique, attending diverse problems that affect stereo vision systems. Finally, the proposed method is applied in the developed stereo vision system and a statistical analysis is performed to validate the obtained improvements.
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Authors
J.C. RodrÃguez-Quiñonez, O. Sergiyenko, W. Flores-Fuentes, M. Rivas-lopez, D. Hernandez-Balbuena, R. Rascón, P. Mercorelli,