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1 2017

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Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach

Rodríguez-Quiñonez J. C., Sergiyenko O., Flores-Fuentes W., Rivas-lopez M., Hernandez-Balbuena D., Rascón R., Mercorelli P.

Opto-Electronics Review

2017

Vol. 25, No. 1

24--32

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.