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Implementation of Low Cost Stereo Humanoid Adaptive Vision for 3D Positioning and Distance Measurement for Robotics Application with Self-Calibration

Abul Al Arabi1, Rayhan Sardar Tipu1, Mohammad Raihanul Bashar2, Binoy Barman1, Shama Ali Monicay1, Md Ashraful Amin1
1 Affiliation not added yet • 2 Concordia University
AMS, 2017
DOI

Abstract

Robots increasingly rely on computer vision to interact with real-world events. This paper proposes an efficient method for determining the absolute viewpoint of a desired image location using self-calibration and a humanoid stereo-vision mechanism. Stereo cameras identify the convergence region of an object and a mathematical model estimates its distance. Comparing object positions also enables relative-distance measurement. The system demonstrates a practical human-eye-inspired approach to obtaining realistic 3D point positioning.

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BibTeX

@inproceedings{al2017implementation,
  author = {Al Arabi, Abul and Tipu, Rayhan Sardar and Bashar, Mohammad Raihanul and Barman, Binoy and Monicay, Shama Ali and Amin, Md Ashraful},
  title = {Implementation of Low Cost Stereo Humanoid Adaptive Vision for 3D Positioning and Distance Measurement for Robotics Application with Self-Calibration},
  booktitle = {2017 Asia Modelling Symposium},
  pages = {83--88},
  year = {2017},
  doi = {10.1109/AMS.2017.21}
}