Dissertations

 

  1. DPhil Dissertation:   “Shape from Contour and Segmentation Using Symmetries,” Univ. of Sussex, UK, 1991. 
  2. MPhil Dissertation:  “Computer Perception of Hidden Line,” Hong Kong Polytechnic, 1988. 

 

Best Paper

 

  1. S.Y. Yuen and C.H. Tse, “Chinese character input using an integrated method of speech recognition and hand writing,” in Proc. Int. Symposium on Consumer Electronics, Nov. 1996, pp. 31 - 34. 優秀論文二等獎 , 中國電子學會消費電子分會(Outstanding Paper, 2nd Class Award, Chinese Institute of Electronics, Consumer Electronics Society) 

 

International Journal Papers

 

  1. S.Y. Yuen, H.S. Lam, C.K. Fong, S.F. Chen, and C.K. Chow, “A Robust iterative hypothesis testing design of the repeated genetic algorithm,” Image and Vision Computing, vol. 23, no. 11, pp. 972-980, Oct. 2005. 
  2. S.Y. Yuen, C.K. Fong, K.L. Chan, and Y.W. Leung, “Fractal dimension estimation and noise filtering using Hough transform,” Signal Processing, vol. 84, no. 5, pp. 907-917, 2004.
  3. S.Y. Yuen, C.K. Fong, and H.S. Lam, “Guaranteeing the probability of success using repeated runs of genetic algorithms,” Image and Vision Computing, vol. 19, no. 8, pp. 551-560, 2001. (Errata) 
  4. S.Y. Yuen and C.H. Ma, “Genetic algorithm with competitive image labelling and least square,” Pattern Recognition, vol. 33, no. 12, pp. 1949-1966, 2000.
  5. C.L. Lam and S.Y. Yuen, “An unbiased active contour algorithm for object tracking,” Pattern Recognition Letters, vol. 19, pp. 491-498, 1998. 
  6. S.Y. Yuen and C.H. Ma, “An investigation of the nature of parameterization for the Hough transform,” Pattern Recognition, vol. 30, no. 6, pp. 1009-1040, 1997.
  7. W.C.Y. Lam and S.Y. Yuen, “Efficient technique for circle detection using hypothesis filtering and Hough transform,” IEE Proc. - Vis. Image Signal Process., vol. 143, no. 5, pp. 292-300, 1996.  (The journal title has been changed to IET Computer Vision)
  8. W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “An analysis on quantizing the Hough space,” Pattern Recognition Letters, vol. 15, pp. 1127-1135, 1994.
  9. K.S.Y. Yuen and W.W. Chan, “Two methods of detecting symmetries,” Pattern Recognition Letters, vol. 15, pp. 279-286, 1994.
  10. S.Y.K. Yuen, T.S.L. Lam, and N.K.D. Leung, “Connective Hough transform,” Image and Vision Computing, vol. 11, no. 5,  pp. 295-301, 1993.

 

International Conference Papers

 

  1. B.K.S. Cheung, S.Y. Yuen, and C.K. Fong, “Enhancement in performance of genetic algorithm for object location problem,” in Proc. 8th International Conference on Control, Automation, Robotics and Vision, Dec. 2004, pp. 692-697. (Errata)  (The full version of this paper is available in GERAD Technical Report G-2005-68)
  2. Y.N. Lai and S.Y. Yuen, “Successive-least-squares error algorithm on minimum description length neural networks for time series prediction,” in Proc. International Conference on Pattern Recognition, vol. 4, Aug. 2004, pp. 609-612.
  3. S.Y. Yuen, Y.Y. Tsui, Y.W. Leung, and R.M.M. Chen, “Fast marching method for shape from shading under perspective projection,” in Proc. 2nd Int. Conf. Visualization, Imaging, and Image Processing, 2002, pp. 584-89.
  4. S.Y. Yuen, C.K. Fong, and K.L. Chan, “A Method for estimating the fractal dimension and filtering of fractal noise in periodic signals,” in Proc. International Conf. on Signal and Image Processing, 2002, pp. 31-36.
  5. C.K. Fong and S.Y. Yuen, “A Genetic algorithm with coverage for object localization,” in Proc. Int. Symposium on Intelligent Multimedia, Video & Speech Processing, 2001, pp.  48-51.
  6. S.Y. Yuen, H.S. Lam, and C.K. Fong, “A Novel robust statistical design of the repeated genetic algorithm,” Lecture Notes in Computer Science, vol. 2124, 2001, pp. 668-675.
  7. S.Y. Yuen and C.H. Ma, “Genetic algorithm with competitive image labelling and least square,” in Proc. 10th Int. Conf. on Image Analysis and Processing, 1999, pp. 364-69.
  8. K.F. Tsang, W.S. Chan, D. Jing, K. Kang, S.Y. Yuen, and W.X. Zhang, “Radiosity method: a new propagation model for microcellular communication,” in Proc. IEEE Int. Symposium Antennas and Propagation Society, vol. 4, 1998, pp. 2228 - 2231.
  9. C.H. Ma and S.Y. Yuen, “Genetic algorithm with competitive image labelling for template matching,” in Proc. Symposium on Image, Speech, Signal Processing and Robotics, vol. I, Hong Kong, 1998, pp. 241 - 246.
  10. C.H. Tse and S.Y. Yuen, “Robust object boundary estimation using genetic algorithm,” in Proc. Fifth International Conference on Control, Automation, Robotics and Vision, 1998, pp. 603-7.
  11. W.T. Fung, S.Y. Yuen, and C.H. Tse, “A Hierarchical boundary box method for searching speech database for speech recognition,” in Proc. IEEE Int. Symposium on Consumer Electronics, Singapore, Dec. 1997, pp. 43 - 46.
  12. C.L. Lam and S.Y. Yuen, “An Active contour algorithm for object tracking,” in Proc. 4th Int. Conf. on Control, Automation, Robotics and Vision, Dec. 1996.
  13. C.L. Lam and S.Y. Yuen, “A Flooding active contour model,” ibid, Dec. 1996.
  14. C.L. Lam and S.Y. Yuen, “A Fast active contour algorithm for object tracking in complex background,” in Proc. 3rd Int. Workshop on Image/Signal Processing Advances in Computational Intelligence, Nov. 1996, pp. 165 - 168
  15. S.Y. Yuen and C.H. Ma, “An Investigation of the nature of parameterization for the Hough transform,” in Proc. International Conf. on Pattern Recognition, vol. B., Vienna, Austria, Aug. 1996, pp. 537 - 41.
  16. W.C.Y. Lam and K.S.Y. Yuen, “Efficient circular object detection with hypothesis filtering strategy and Hough transform,” ibid, vol. B., Aug. 1996, pp. 524 - 46.
  17. W.C.Y. Lam and K.S.Y. Yuen, “A Hough-like approach for ellipse detection using connective segments,” in Proc. 3rd Conf. on Digital Imaging Computing Techniques and Applications, Australia, 1995, pp. 522-27.
  18. T.S. Lam, P.C.H. Chen, and K.S.Y. Yuen, “A New technique to recover the unknown motion of a single object using ego motion,” in Proc. Asian Conf. on Computer Vision, 1995, pp. 186 - 89.
  19. W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “A General evidence accumulation technique for Hough transform,” in Proc. IEEE International Conf. on Systems, and Cybernetics, Oct. 1994, pp. 2414-19.
  20. L.T.S. Lam, W.C.Y. Lam, K.S.Y. Yuen, and D.N.K. Leung, “A Hough-like prediction/ correction approach for shape extraction,” ibid, Oct. 1994, pp. 2408-13.
  21. W.C.K. Choi, D.N.K. Leung, K.S.Y. Yuen, and R.T. Bradbeer, “An Effective low-cost vision system for the robot pingpong player,” in Proc. Int. conf. on Mechatronics & Machine Vision in Practice, Sept. 1994, pp. 252-57.
  22. K.S.Y. Yuen and E.K.H. Lo, “A Coarse-to-Fine approach for circle detection,” in Proc. Int. Symposium on Speech, Image Processing & Neural Networks, Apr. 1994, pp. 523-26.
  23. K.S.Y. Yuen and W.W. Chan, “A Solution to the generalized Duda and Hart problem using Fourier parameterization,” ibid, Apr. 1994, pp. 441-44.
  24. W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “An Error analysis on quantizing the Hough space,” in Proc. of 2nd Int. Conf. on Signal Processing, Oct. 1993, pp. 946 - 49.
  25. W.C.Y. Lam, K.S.Y. Yuen, and D.N.K. Leung, “Fourier parameterization provide uniform bounded Hough space,” Lecture Notes in Computer Science, vol. 719, 1993, pp. 183-190.
  26. K.S.Y. Yuen, L.T.S. Lam, and D.N.K. Leung, “An Approach to corner detection,” in Proc. 8th Scandinavian Conf. on Image Analysis, May 1993, pp. 1071-76.
  27. S.Y.K. Yuen, “Connective Hough transform,” in Proc. 2nd British Machine Vision Conf., Sept. 1991, pp. 127-35. 
  28. S.Y.K. Yuen and V. Hlavac, “An Approach to quantization of Hough space,” in Proc. 7th Scandinavian Conf. on Image Analysis, 1991, pp. 733-40.
  29. S.Y.K. Yuen., “Shape from contour using symmetries,” Lecture Notes in Computer Science, vol. 427, 1990, pp. 437-453.
  30. S.Y.K. Yuen, “Shape from contour using symmetries,” in Proc. 5th Alvey Vision Conf., Sept. 1989, pp. 281-84.
  31. S.Y. Yuen and N.K. Leung, “A Shape-from-contour method for solid perception,” in Proc. 6th Scandinavian Conf. on Image Analysis, vol.1, 1989, pp. 262-69.
  32. S.Y. Yuen and N.K. Leung, “A Computational theory of hidden line perception,” in Proc. SPIE Vol. 1008: Expert Robots for Industrial Use, 1989, pp. 84-95.
  33. S.Y. Yuen and N.K. Leung, “A Probabilistic scheme for hidden line perception,” in Proc. IEEE Asian Electronics Conf., Sept. 1987, pp. 276-81.