The fact that laser diodes have to be manually deployed to pinpoint the areas of interest is another topic under investigation. Acknowledgements This research was funded by the EU project MyCar-Flexible Assembly Processes for the Car of the 3rd Millennium, Contract No. 26631. References [1] Trucco, E. & Verri, A., 1998. Introductory techniques for 3-D computer vision, Upper Saddle River, NJ: Prentice Hall. [2] Ahlskog, M. 2007. 3D Vision, Master Thesis in Electronics, Mälardalen University, The Department of Computer Science and Electronics, Mälardalen University. [3] Chryssolouris, G., 2006. Manufacturing systems theory and practice, New York: Springer. [4] Demuynck, O., Pacheco, C. & Moore, A.L., 2009. “Industrial machine vision system for fast and precise 3D object localization”, 9th WSEAS international conference on Signal processing, computational geometry and artificial vision. Moscow, Russia: World Scientific and Engineering Academy and Society (WSEAS), p. 160. [5] Michalos, G., Makris S., Papakostas N., Mourtzis D., Chryssolouris G., 2010. Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach, CIRP Journal of Manufacturing Science and Technology, 2/2, p.81. [6] Georgoulias K., Michalos G., Makris S., Chryssolouris G., 2008. “The Effect of Flexibility on Market Adaptation”, 2nd CIRP Conference on Assembly Technologies and Systems (CATS 2008), Toronto, Canada, (September 2008), p. 280. [7] Makris, S., Michalos G., Papakostas N., Chryssolouris G., 2007. “Automotive assembly technologies performance and limitations”, 40th CIRP International Seminar on Manufacturing Systems. 40th CIRP International Seminar on Manufacturing Systems. Liverpool. [8] Jayaweera, N., Webb, P., 2010. Metrology-assisted robotic processing of aerospace applications, International Journal of Computer Integrated Manufacturing, 23/3, p. 283. [9] Rotaru, F., Bejinariu, S., Niţă, C. D., Luca, R., Păvăloi, I., Lazăr, C., 2009. “Robot Vision Application based on Complex 3D Pose Computation”, International Conference on Computer, Electrical, and Systems Science, and Engineering Venice, Italia 28-30, 2009 [10] URL Focus Robotics, PCI nDepth™ Vision System Available at: http://www.focusrobotics.com/products/systems.html#pci_camera [Accessed January 18, 2012] [11] URL Point Grey. Point Grey Research,
Available at: http://www.ptgrey.com/products/stereo.asp. [Accessed January 18, 2012] [12] URL Hardin, Hardin, W., 2008. 3D Vision Guided Robotics: When Scanning Just Won’t Do, Machine Vision Online. http://www.machinevisiononline.org/vision-resources-details.cfm?content_id=1137&id=2&newsType_id=0 [Accessed January 18, 2012] [13] Johar M., Harnzah R.A., Hasni A., 2009. Range Estimation in Disparity mapping for Navigation of Stereo Vision autonomous Vehicle Using Curve Fitting Tool, International Journal of Video & Image Processing and Network security IJVIPNS 9/9. [14] Scharstein, D., Szeliski, R., 2002. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1/2/3): p. 7. [15] Cheng, F., Chen, X, 2008. “Integration of 3D Stereo Vision Measurements in Industrial Robot Applications, International Conference on Engineering & Technology”, November 17-19, 2008, Nashville, TN, USA, ISBN 978-1-60643-379-9. [16] Bradski, G.R., Kaehler, A., 2008. Learning OpenCV computer vision with the OpenCV library, Sebastopol, Calif.: O’Reilly. [17] Alvarez, L., 2002. Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach. Journal of Visual Communication and Image Representation, 13/1-2, p.3. [18] URL Matlab Calibration Toolbox, Bouguet, J-Y., Available at: http://www.vision.caltech.edu/bouguetj/calib_doc/ [Accessed January 18, 2012] [19] Ab-Rahman, A.A.H., Sheikh, U.U., Abu-Bakar, S.A.R., 2005. “Subpixel disparity for accurate stereoscopic depth & velocity”, 1st International Conference on Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005. CCSP 2005, p. 107.
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