Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2002.9B.2.237

A Stereo Image Recognition-Based Method for measuring the volume of 3D Object  

Jeong, Yun-Su (Electronics and Telecommunications Research Institute)
Lee, Hae-Won (Electronics and Telecommunications Research Institute)
Kim, Jin-Seok (Electronics and Telecommunications Research Institute)
Won, Jong-Un (Dept.of Electronics Engineering, Graduate School of Kyungpook National University)
Abstract
In this paper, we propose a stereo image recognition-based method for measuring the volume of the rectangular parallelepiped. The method measures the volume from two images captured with two CCD (charge coupled device) cameras by sequential processes such as ROI (region of interest) extraction, feature extraction, and stereo matching-based vortex recognition. The proposed method makes it possible to measure the volume of the 3D object at high speed because only a few features are used in the process of stereo matching. From experimental results, it is demonstrated that this method is very effective for measuring the volume of the rectangular parallelepiped at high speed.
Keywords
cubing; feature extraction; stereo matching; vectorization;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Bradley J. Stringer and Michael K. Elwood, 'Laser Based Dimensioning System,' U. S. Patent 5850370, Dec. 1998
2 'Postal Technology International,' UK & International Press, pp.170-172, 1999
3 HTTP://www.acusort.com/products/dm3000.HTML
4 Albert Wurz, John E. Romaine and David L. Martin, 'Dimensioning System,' U. S. Patent 5661561, Aug. 1997
5 HTTP://www.vitronic.com/
6 U. R. Dhondand and J. K. Aggarwal., 'Structure from stereo : a review,' IEEE Tram. Sys, Man Cybern., Vol.19, No.16, pp.1498-1510, 1989   DOI   ScienceOn
7 R. Jain, R. Kasturi and B. G. Schunck, 'Machine Vision,' McGraw Hill, 1995
8 N. Guil, J. Villalba and E. L. Zapata, 'A Fast Hough Transform for Segment Detection,' IEEE Trans. on Image Processing, Vol.4, No.11, pp.1541-1548, Nov. 1995   DOI   ScienceOn
9 H. K. Aghajan and T. Kailath, 'Sensor Array Processing Techniques for Super Resolution Multi-line-fitting and Straight Edge Detection,' IEEE Trans. on Image Processing, Vol.2, No.4, pp.454-465, Oct. 1993   DOI   ScienceOn
10 Rafael C. Gonzalez and Richard E. Woods. 'Digital Image Processing,' Addison-Wesley Publishing Company, pp.486-488, 1992
11 A. Jonk and A. W. M. Smeulders, 'An axiomatic approach to clustering line-segments,' Proceedings of the Third ICDAR, pp.386-389, 1995   DOI
12 Y. S. Chen and W. H. Hsu, 'A modified fast parallel algorithm for thinning digital patterns,' Pattern Recognition Letters, Vol.7, No.2, pp.99-106, 1988   DOI   ScienceOn
13 HTTP://www.cargoscan.com/cs5200.HTM
14 W. Eric L. Grimson, 'Computational Experiments with a feature based stereo algorithm,' IEEE Trans. Patt. Anal. Machine Intell., Vol.7, No.1, pp.17-34, 1985   DOI   ScienceOn
15 Gerard Medioni and Ramakant Nevatia, 'Segment-based stereo matching,' Computer Vision, Graphics, and Image Processing, Vol.31, pp.2-18, 1985   DOI
16 G. Xu and Z. Zhang, 'Epipolar Geometry in Stereo, Motion and Object Recognition,' Kluwer Academic Publishers. 1996