doi: 10.7763/IJCTE.2013.V5.647
Application of Active Self-landmarking to Camera Calibration
Yanfei Liu
,
Carlos Pomalaza-Ráez
- Department of Engineering, Indiana University – Purdue University, Fort Wayne, IN 46809 USA.
Abstract
Camera calibration in an outdoor environment often relies on natural landmarks, and algorithms that are computational expensive. This paper presents a fast camera calibration method that uses robots themselves as landmarks to each other. The active landmark made of LEDs, mounted on the robots, can be turned on/off through available wireless link. Experimental measurements and validation were conducted using a low-resolution, low-computation power smart camera, the CMUcam3 camera. The experimental results show that the estimates of the intrinsic camera parameters converge to the correct values as the robot moves and more measurements are used.
Keywords
- Computer vision
- robot sensing
- data fusion
- sensory networks
How to Cite
Yanfei Liu and Carlos Pomalaza-Ráez, "Application of Active Self-landmarking to Camera Calibration," International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp. 60-64, 2013. https://doi.org/10.7763/IJCTE.2013.V5.647
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).