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David Armando Revelo

Francisco Daniel Usama

Juan Fernando Florez

Abstract

Recently, devices that allow obtainingthree-dimensional informationfrom the scenes have been developed.The most popular is the onethat have been created by a stereoscopiccouple of cameras. This workpresents a development in stereoartificial vision for getting 3D coordinatesof a real scene, which is processedonline. The stereo algorithmsare designed using OpenCV and aresupported by Linux. Disparity mapsappear in gray scale and in pseudocolor in order to represent the depth.The 3d information is represented byclouds of points in a graphical virtualenvironment. Measures of an objectwith known dimensions resulted inerros between 0.72% and 6.9%.

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Keywords

Machine vision, disparity, stereo vision, epipolar geometry

References
How to Cite
Revelo, D., Usama, F., & Florez, J. (2012). 3D Reconstruction of Scenes by Means of a Stereoscopic Vision System, Based on Feature Extraction and Developed in OpenCV. Ingenieria Y Universidad, 16(2), 485. Retrieved from https://revistas.javeriana.edu.co/index.php/iyu/article/view/1315
Section
Articles
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