Browse > Article

A Study on the 3-Dimensional Implementation of Computer-Aid Management of Stereo Images  

Lee, Joong (Department of Chemical Engineering, Kwangwoon University)
Yoon, Do-Young (Department of Chemical Engineering, Kwangwoon University)
Publication Information
Korean Chemical Engineering Research / v.47, no.2, 2009 , pp. 179-184 More about this Journal
Abstract
Recent evolution of computer technology enhances the effectiveness of CFD(Computational Fluid Dynamics) analysis for the 3-dimensional complex transport phenomena including turbulent flows. Cheaper and easier than laser and ultra-sonic methods, the windows simulator name by CAMSI(Computer-Aided Management of Stereo Images) has been developed in order to implement the 3-dimensional image using a disparity histogram extracted from left and right stereo images. In our program using the area-based method, the matching pixel finding methods consist of SSD(Sum of Squared Distance), SAD(Sum of Absolute Distance), NCC(Normalized Correlation Coefficient) and MPC(Matching Pixel Count). On performing the program, stereo images on different window sizes for various matching pixel finding methods are compared reasonably. When the image has a small noise, SSD on small window size is more effective. Whereas there is much noise, NCC or MPC is more effective than SSD. CAMSI from the present study will be much helpful to implement the complex objects and to analyze 3-dimensional CFD around them.
Keywords
Stereo Images; Disparity Histogram; Computer-Aided Management of Stereo Images;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Chang, T. P. K., Watson, A. T. and Tatterson, G. B., "Image Processing of Tracer Particle Motions as Applied to Mixing and Turbulent Flow-I. The Technique," Chemical Engineering Science, 40(2), 269-275(1985)   DOI   ScienceOn
2 Fryer, J., Mitchel, H. and Chandler, J., Applications of 3D Measurement from Images, Whittles Publishing, Dunbeath(2007)
3 Ma, Y., Soatto, S., Kosecka, J. and Sastry, S. S., "An Invitation to 3-D Vision: From Images to Geometric Models," Springer, New York(2006)
4 Luhmann, T., Robson, S., Kyle, S. and Harley, I., "Close Range Photogrammetry: Principles, Methods and Applications," Whittles Publishing, Dunbeath(2006)
5 Lee, J.-S., "Digital Image Smoothing and the Sigma Filter," Computer Vision Graphics and Image Processing, 24, 255-269 (1983)   DOI   ScienceOn
6 Dracos, T., Three-dimensional Velocity and Vorticity Measuring and Image Analysis Techniques, Kluwer Academic Publishers, Dordrecht(1996)
7 Russ, J. C., Image Processing Handbook, 3rd Ed.," CRC Press LLC, Boca Raton(1999)
8 Pitas, I., "Digital Image Processing Algorithms," Prentice Hall, New Jersey(1993)
9 Hannah, M. J., "Computer Matching of Areas in Stereo Images," Ph.D. Thesis, Stanford University(1974)
10 Barnard, S. and Fischler, M., "Computational Stereo," ACM Comput. Surverys, 14, 553-572(1982)   DOI   ScienceOn
11 Marr, D. and Hildreth, E., "Theory of Edge Detection," Proc, R. Soc, London, B 207, 187-217(1980)   DOI
12 Sid-Ahmed, M. A., Image Processing Theory: Algorithms and Architectures, McGraw-Hill, New York(1995)
13 Chang, T. P. K., Watson, A. T. and Tatterson, G. B., "Image Processing of Tracer Particle Motions as Applied to Mixing and Turbulent Flow-II. Results and Discussion," Chemical Engineering Science, 40(2), 277-285(1985)   DOI   ScienceOn
14 Gonzalez, R. C. and Woods, R. E., Digital Image Processing," Addison-Wesley, New York(1992)
15 Wang, Y. F. and Cheng, D. I., 'Three-dimensional Shape Construction and Recognition by Fusing Intensity and Structured Lighting,' J. Pattern Rec. Soc., 25(12), 1992   DOI   ScienceOn