Abstract—An improvement for image distortion in cameras has been an important issue for as long as users have wanted to reproduce or utilize observed information. In this paper, it described about mobile robot using uncalibrated cameras rig which installed on top of it to work as stereo pair. These cameras have to be calibrated by software using Tsai’s method. The block matching algorithm is using Sum of Absolute Differences (SAD) to solve the correspondence problem. The image processing part is implemented in Matlab software. The result is a lot of matching points discovered using a software calibration result from Tsai’s method.
Index Terms—Block matching; disparity mapping; epipolarline; stereo vision; uncalibrated camera
Rostam Affendi Hamzah is with Faculty of Electronics & Computer Engineering, UTeM, Melaka, Melaka, Malaysia. (email: rostamaffendi@utem.edu.my)
Sani Irwan Md Salim is with Faculty of Electronics & Computer Engineering, UTeM, Melaka, Melaka, Malaysia. (email: sani@utem.edu.my)
Cite: Rostam Affendi Hamzah and Sani Irwan Md Salim, "Software Calibration for Stereo Camera on Stereo Vision Mobile Robot using Tsai’s Method," International Journal of Computer Theory and Engineering vol. 2, no. 3, pp. 390-394, 2010.
Copyright © 2008-2024. International Association of Computer Science and Information Technology. All rights reserved.
