Development of an Algorithm that Allows Improving Disparity Maps in Environments Contaminated with Suspended Particles
| International Journal of Electrical and Electronics Engineering |
| © 2023 by SSRG - IJEEE Journal |
| Volume 10 Issue 4 |
| Year of Publication : 2023 |
| Authors : John Kern, Javier Silva, Claudio Urrea |
10.14445/23488379/IJEEE-V10I4P117
How to Cite?
John Kern, Javier Silva, Claudio Urrea, "Development of an Algorithm that Allows Improving Disparity Maps in Environments Contaminated with Suspended Particles," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 4, pp. 169-174, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I4P117
Abstract:
The estimation of the depth of a scene has become a research niche due to the large number of applications that exist today. In a stereo vision system, disparity maps make it possible to obtain the depth of a scene from two rectified images. Stereo vision systems are sensitive to illumination, reflections, lens distortion, noise, camera alignment, etc.; therefore, in this work, we present an algorithm that allows us to improve the disparity map when the environment presents particles in suspension using stereo vision through infrared cameras. For this purpose, filters, matching, and dehazing algorithms are implemented.
Keywords:
Disparity map, Stereo Vision, Semi-Global Block Matching, Dehazing algorithm, Weighted Least Squares filter.
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