3D reconstruction system for semi-automatic estimation of objects length and area by means of stereo vision

Authors

  • Bryan García Institución Universitaria Antonio José Camacho, Cali Universidad del Valle, Cali
  • Carlos Diego Ferrin B. Institución Universitaria Antonio José Camacho, Cali
  • Jorge Humberto Erazo Institución Universitaria Antonio José Camacho, Cali Universidad del Valle, Cali

DOI:

https://doi.org/10.18046/syt.v15i40.2372

Keywords:

Stereo vision, 3D reconstruction, digital image processing.

Abstract

It is mandatory to characterize dimensionally the manufactured industrial pieces for quality control purposes. As it is not possible to touch some pieces when trying to retrieve dimensional information, then non-invasive techniques are required to do so. Stereo vision is a passive technology which is both robust and accurate for non-invasive applications. For this reason, in this work we describe the design and implementation of a 3D reconstruction system for the estimation of the length and area of certain objects. This tool allows to easily incorporate new image correspondence techniques to its main execution pipeline. We carry some experiments and show certain benefits when selecting an accurate image correspondence technique for the estimation of the length and area.

Author Biographies

  • Bryan García, Institución Universitaria Antonio José Camacho, Cali Universidad del Valle, Cali

    Electronic Engineer (2016) and student of the Master in Engineering with emphasis in Automation of the Universidad del Valle (Cali, Colombia). His interest areas are: artificial vision, thermography, machine learning, and signals/images processing

  • Carlos Diego Ferrin B., Institución Universitaria Antonio José Camacho, Cali

    Physics Engineer (Universidad del Cauca, Popayan – Colombia); Master in Electronics Engineering (Universidad del Valle, 2015) and student of the Doctorate in Engineering with emphasis in Electrics and Electronics of the Universidad del Valle. He was beneficiary of the “young researchers” program of Colciencias (2011) and his interest areas are: artificial vision, machine learning, and processing of signals, images, and point clouds

  • Jorge Humberto Erazo, Institución Universitaria Antonio José Camacho, Cali Universidad del Valle, Cali

    Electronic Engineer (2014), Master in Engineering with emphasis in Electronics (2010) and student of the Doctorate in Engineering with emphasis in Electrics and Electronics of the Universidad del Valle. Full time and auxiliary professor affiliated to the engineering faculty of the Institución Universitaria Antonio José Camacho (Cali-Colombia). Thermography professional level I and II of the Infrared Training Center – ITC (2007 and 2011). His areas of interest are: thermography, artificial vision, digital signal processing, and pattern recognition

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Published

2017-04-05

Issue

Vol. 15 No. 40 (2017)

Section

Original Research

License

This journal is licensed under the terms of the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).