References
- Ballard, D.H. (1981), "Generalizing the Hough transform to detect arbitrary shapes", Pattern Recogn., 13, 111-122. https://doi.org/10.1016/0031-3203(81)90009-1
- Bradski, G. (2000), "The OpenCV Library", Dr. Dobb's Journal of Software Tools.
- Camarillo, D.B., Loewke, K.E., Carlson, C.R. and Salisbury, J.K. (2008), "Vision based 3-D shape sensing of flexible manipulators", Proceedings IEEE International Conference on Robotics and Automation, Pasadena, California, May, 2940-2947.
- Chen, S., Li, Y. and Kwok, N.M. (2011), "Active vision in robotic systems: a survey of recent developments", Int. J. Robot. Res., 30, 1343-1377. https://doi.org/10.1177/0278364911410755
- Di Leo, G. and Paolillo, A. (2011), "Uncertainty evaluation of camera model parameters", Proceedings 28th IEEE Instrumentation and Measurement Technology Conference, Hangzhou, P. R. China May, 6.
- Fung, J. and Mann, S. (2004), "Using multiple graphics cards as a general purpose parallel computer: applications to computer vision", Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, August,Vol.1, 805-808.
- Fung, J., Tang, F. and Mann, S. (2002), "Mediated reality using computer graphics hardware for computer vision", Proceedings 6th International Symposium on Wearable Computers, Washington, USA, October, 83-89.
- Golnabi, H. and Asadpour, A. (2007), "Design and application of industrial machine vision systems", Robot. Comput. Integr. Manuf., 23, 630-637. https://doi.org/10.1016/j.rcim.2007.02.005
- Heisele, B. and Ritter, W (1995), "Obstacle detection based on color blob flow", Proceedings of the Intelligent Vehicles '95 Symposium, Detroit, USA, September, 282-286.
- Jungel, M., Mellmann, H. and Spranger, M. (2008), "Improving vision-based distance measurements using reference objects", in: Visser, U., Ribeiro, F., Ohashi, T., Dellaert, F. (Eds.), RoboCup 2007: Robot Soccer World Cup XI, Lecture Notes in Computer Science, Springer, Berlin Heidelberg, 89-100.
- Li, W., Jin, J., Li, X. and Li, B. (2010), "Method of rotation angle measurement in machine vision based on calibration pattern with spot array", Appl. Optics, 49, 1001-1006. https://doi.org/10.1364/AO.49.001001
- Ming, A. and Ma, H. (2007), "A blob detector in color images", Proceedings of the 6th ACM International Conference on Image and Video Retrieval, Amsterdam, Netherlands, July, 364-370.
- Mirghasemi, S. and Banihashem, E. (2009), "Sea target detection based on SVM method using HSV color space", Proceedings of 2009 IEEE Student Conference on Research and Development, Serdang, Malaysia, November, 555-558.
- Russ, J.C. (2011), The image processing handbook, Taylor & Francis, 6th edition, Boca Raton.
- Su, C.T., Chang, C.A. and Tien, F.C. (1995), "Neural networks for precise measurement in computer vision systems", Comput. Ind., 27, 225-236. https://doi.org/10.1016/0166-3615(95)00024-8
- Tyrrell, J.A., Lapre, J.M., Carothers, C.D., Roysam, B. and Stewart, C.V. (2004), "Efficient migration of complex off-line computer vision software to real-time system implementation on generic computer hardware", IEEE T. Inf. Technol. B., 8, 142-153. https://doi.org/10.1109/TITB.2004.828883
- Wang, W.G., Hu, Z.Y. and Shun, Z.Y. (2002), "3D shape measurement based on computer vision", Proceedings 2002 International Conference on Machine Learning and Cybernetics, Beijing, P.R. China, November, Vol. 2, 910-914.
- Wu, J. and Xiao, Z. (2010), "Video surveillance object recognition based on shape and color features", Proceedings 3rd International Congress on Image and Signal Processing, Yantai, P.R. China, October, 451-454.