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Comparison Between Triangulation and Curve Fitting Tool Methods for Underwater Ranging Using Stereo Vision
Current Issue
Volume 2, 2015
Issue 4 (July)
Pages: 44-47   |   Vol. 2, No. 4, July 2015   |   Follow on         
Paper in PDF Downloads: 39   Since Aug. 28, 2015 Views: 1357   Since Aug. 28, 2015
Authors
[1]
Shadi Mahmoodi Khaniabadi, Safahan Institute of Higher Education, Esfahan, Iran.
[2]
Ali Khalili Mobarakeh, Robotic Group, School of Engineering, University of Malaga, Teatinos Campus, Malaga, Spain.
[3]
Saba Nazari, Safahan Institute of Higher Education, Esfahan, Iran.
Abstract
There is a growing interest in underwater applications. Stereo vision is one of the best methods for distance estimation of underwater object. In this research two pairs of cameras were used as stereo image acquisition to estimate the distance of underwater object. The stereo vision system in this project consists of calibration of camera, rectification of images, segmentation of images, finding of centroid and localization of object. Edge-based segmentation, Mathematical morphology and largest area selection are used to perform image segmentation. Finally, It will be shown that curve fitting is better than triangulation method to estimate the coordinates with the overall error of around 0.5 cm with water condition where the overall error of using triangulation method is around 2.2 cm which is too much in range estimation.
Keywords
Stereo Vision, Triangulation Method, Curve Fitting Tool Method, Camera Calibration
Reference
[1]
Aksay, A., D. Bugdayci, and G.B. Akar. Optimization of encoding and error protection parameters for 3D Video Broadcast over DVB-H. in 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011. 2011.
[2]
Bleyer, M. and M. Gelautz, A layered stereo matching algorithm using image segmentation and global visibility constraints. ISPRS Journal of Photogrammetry and Remote Sensing, 2005. 59(3): p. 128-150.
[3]
Corrochano, E.B. and J.O. Eklundh, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 2009.
[4]
Tsai, R.Y., A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. Robotics and Automation, IEEE Journal of, 1987. 3(4): p. 323-344.
[5]
Kheng, E.S., et al. Range estimation for robot arm applications using image segmentation and curve fitting tool. in Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on. 2011. IEEE.
[6]
Kyoung Won Nam, J.P., In Young Kim,Kwang Gi Kim, Application of Stereo-Imaging Technology to Medical Field. 2012. 10.4258/hir.2012.18.3.158: p. 158–163.
[7]
Klette, R. Stereo-Vision-Support for Intelligent Vehicles - The Need for Quantified Evidence. 2008 25 May 2013]; Available from: https://researchspace.auckland.ac.nz/handle/2292/3262.
[8]
Cyganek, B., An Introduction to 3D Computer Vision Technique and Algorithms. 2009.
[9]
Brown, M.Z., D. Burschka, and G.D. Hager, Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003: p. 993-1008.
[10]
Eng Swee, K., A.H. Abu Hassan, and A. Ranjbaran. Stereo vision with 3D coordinates for robot arm application guide. in Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2010 IEEE Conference on. 2010.
[11]
Negahdaripour, S. and P. Firoozfam, An ROV Stereovision System for Ship Hull Inspection. IEEE JOURNAL OF OCEANIC ENGINEERING, 2005. 31: p. 551-564.
[12]
Gui, C. and L. Tu. A stereo camera calibration based on robotic vision. in Cognitive Informatics & Cognitive Computing (ICCI* CC), 2011 10th IEEE International Conference on. 2011. IEEE.
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