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

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

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

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.

Original languageEnglish
JournalOpto-electronics Review
Volume25
Issue number1
Pages (from-to)24-32
Number of pages9
ISSN1230-3402
DOIs
Publication statusPublished - 01.05.2017

    Research areas

  • Distance measurement, Optimization methods, Stereo vision
  • Engineering

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