Browse > Article

A Single Camera based Method for Cubing Rectangular Parallelepiped Objects  

Won, Jong-Won (Dept.of Electronics Engineering, Kyungpook National University)
Chung, Yun-Su (Electronics and Telecommunications Research Institute)
Kim, Woo-Seob (Dept.of Electronics Engineering, Kyungpook National University)
You, Kwang-Hun (Dept.of Electronics Engineering, Kyungpook National University)
Lee, Yong-Joon (Electronics and Telecommunications Research Institute)
Park, Kil-Houm (Dept.of Electronics Engineering, Kyungpook National University)
Abstract
In this paper, we propose a method for measuring the volume of packages for the efficient handling of the packages. Using the geometrical characteristics of the rectangular parallelepiped type objects, the method measures the volume of packages with one camera only in real time. In preprocessing of volume measurement, the method extracts outer lines of the object and then crossing points of the lines as feature points or vertexes. From these cross points(-feature points-), the volume of the package is calculated. Compared to the direct feature extraction, the proposed method shows especially the blurring robust result by using the line for feature extraction. Additionally, the method can get the stable result by considering object's direction. From experimental results, it is demonstrated that this method is very effective for the real time volume measurement of the rectangular parallelepiped.
Keywords
Vertex Recognition; Feature extraction; Image geometry; Vectorization; Dimensioning System;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jiann-Shu Lee, Yung-Nien Sun, Chin-Hsing Chen 'Multi scale comer detection by using wavelet transform,' IEEE Transactions on Image Processing, vol.4, no.1, pp.100-104, 1995   DOI   ScienceOn
2 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
3 R. Jain, R. Kasturi and B. G. Schunck, Machine Vision, McGraw Hill, 1995
4 Qiang Ji, Haralick, R.M., 'Corner detection with covariance propagation,' Computer Vision and Pattern Recognition, Proceedings. pp.362-367, 1997   DOI
5 A. Jonk and A. W. M. Smeulders, 'An axiomatic approach to clustering line-segments,' Proceedings of the Third ICDAR, pp. 386-389, 1995   DOI
6 G. Xu and Z. Zhang, Epipolar Geometry in Stereo, Motion and Object Recognition , Kluwer Academic Publishers, 1996
7 Postal Technology International, pp, 190-193, UK & International Press, 2000
8 Postal Technology International, pp.170-172, UK & International Press, 1999
9 http://www.cargoscan.com/cs5200.htm
10 Albert Wurz, John E. Romaine and David L. Martin, 'Dimensioning System,' U.S. Patent 5661561, Aug. 26, 1997
11 정윤수, 원종운, 김동호, 김진석 'CCD카메라에 기반한 3D 자동 물량 산출 시스템', 제16회 산 학 연 멀티미디어 산업기술 학술대회 학술논문집, pp.109-114, 2000
12 Mokhtarian. F., Suomela. R., 'Robust image corner detection through curvature scale space', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20 no. 12 pp.1376-1381 Dec. 1998   DOI   ScienceOn
13 W. B. Culbertson, T. Malzbender, and G. Slabaugh, 'Generalized Voxel Coloring,' Proc. ICCV Workshop on Vision Algorithms, Theory and Practice, 1999
14 P. Eisert, E. Steinbach, and B. Girod, 'Multi-Hypothesis, Volumetric Reconstruction of 3-D Objects from Multiple Calibrated Camera Views,' Proc. International Conference on Acoustic, Speech, and Signal Processing, pp.3509-3512, 1999   DOI
15 P. Eisert, E. Steinbach, and B. Girod, 'Automatic Reconstruction of Stationary 3-D Objects from Multiple Uncalibrated Camera Views', Circuits and Systems for Video Technology, IEEE Transactions on , Vol. 10, pp.261-277, 2000   DOI   ScienceOn
16 Korsten, M.J. Houkes, Z. 'Parametric descriptions and estimation, a synergetic approach to resolving shape from shading and motion', Image Processing and its Applications, Third International Conference on , Page(s): 5 -9, 1989
17 Cho S.Y. Chow TWS, 'Neural computation approach for developing a 3-D shape reconstruction model,' IEEE Transactions on Neural Networks, Vol 12 N.5, pp 1204-1214, 2001   DOI   ScienceOn
18 S. Seitz and C. Dyer, 'Photorealistic Scene Reconstruction by Voxel Coloring,' Proc. Computer Vision and Pattern Recognition, vol, 35, pp.151-173, 1999