Conference Paper2017Cited by 1

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

Abul Al Arabi, Rayhan Sardar Tipu, Mohammad Raihanul Bashar, Binoy Barman, Shama Ali Monicay, Md Ashraful Amin

2017 Asia Modelling Symposium (AMS)

IEEE, pp. 83–88

DOI: 10.1109/ams.2017.21URL

Abstract

Robots are getting smarter everyday with the implementation of computer vision system in it. It is now highly required for any robot to have a natural vision system or more likely humanoid vision system to interact with real life incidents. On the perspective of such imaging and vision, we propose an efficient method in order to determine the absolute view point of any desired image location. We used self calibration system and humanoid vision mechanism via stereo cameras to find the region of convergent of an object which with the help of a mathematical model can measure the distance of the object. With comparing different objects position it is also possible to determine the relative distance of the objects. Our system shows that, the real human eye tracking system used, can be possible for getting a realistic view of the image at the 3D point positioning.

Keywords

  • distance measurement
  • stereo vision
  • self-calibration
  • low-cost vision system
  • 3D localization
  • Stereo camera
  • robot vision
  • relative distance

CCDS Authors

Mohammad Raihanul Bashar
Mohammad Raihanul Bashar

Mohammad Raihanul Bashar

  • Alumni, CCDS

  • PhD Student

    Concordia University, Canada

  • BSc

    Independent University, Bangladesh (IUB)

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, Pattern Recognition, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

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Cited By

  1. 1.Chenlu Liu, Chao Ye, Hongzhe Shi, Weiyang Lin. (2024). Discrete-Time Visual Servoing Control with Adaptive Image Feature Prediction Based on Manipulator Dynamics. Sensors, 24(14), 4626[10.3390/s24144626]
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