Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach
Research output: Journal contributions › Journal articles › Research › peer-review
Authors
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 language | English |
|---|---|
| Journal | Opto-electronics Review |
| Volume | 25 |
| Issue number | 1 |
| Pages (from-to) | 24-32 |
| Number of pages | 9 |
| ISSN | 1230-3402 |
| DOIs | |
| Publication status | Published - 01.05.2017 |
- Electrical and Electronic Engineering
- Materials Science(all)
- Radiation
ASJC Scopus Subject Areas
- Distance measurement, Optimization methods, Stereo vision
- Engineering
