Papers Since 2000
Xin Hu, Hui Peng, Joseph Kesler, Xiang Cai, William Wee, and Jing-Hui Lee, "An Improved Adaptive Smoothing Method", Springer-Verlag Berlin, Heidelberg“ Lecture Notes in Computer Science Image Analysis and Processing - ICIAP 2009, pp.757-765, September 2009.
Xiaokun Li, Chia-Yung Han, and William G. Wee, "On Surface Reconstruction: A Priority Driven Approach," Journal on Computer-Aided Design (JCAD), 2009.
L. He, Z. Peng, B. Everding, X. Wang, C.Y. Han, K. L. Weiss, and W. G. Wee, "A Comparative Study of Deformable Contour Methods on Medical Image Segmentation," Image and Vision Computing, Vol. 26, No. 2, pp. 141-163, Feb. 2008.
Xiaokun Li and William G. Wee, "Sensor Error Modeling and Compensation for Range Images Captured by A 3D Ranging System," Measurement Sciences and technology, 19, 2008.
X. Wang, F. Gao, Z. Peng, and W. G. Wee, "An Integrated Approach to the Segmentation and Recognition of Objects Using Level Set and Thin Plate Spline Method," Int. J. Intelligent Systems Technologies and Applications, Vol. 3, No. 3/4, pp. 211-225, 2007
X. Wang, F. Gao, and W. G. Wee, "Mean Field Annealing Deformable Contour Method: A Constrained Global Optimization Approach", Int. J. Information and Systems Sciences, Vol. 3, No. 3, pp. 453-478, 2007.
Z. Peng, X. Cai, W. G. Wee, and J. H. Lee, "3D Method of Using Spatial-Varying Gaussian Mixture and Local Information to Segment MR Brain Volume", International Conference on Image Analysis and Recognition, September, 2006, Portugal.
X. Cai, Y. Hou, C. Li, J. H. Lee, and W. G. Wee, "Evaluation of Two Segmentation Methods on MRI Brain Tissue," IEEE 2006 International Conference of the Engineering in Medicine and Biology Society, August, 2006, New York City, New York.
L. He, C. Y. Han, W. G. Wee, "Object Recognition and Recovery by Skeleton Graph," Proceedings on 2006 IEEE International Conference on Multimedia and Expo, pp. 993-996, July 2006, Toronto, Canada.
Z. Peng, W. G. Wee, and J. H. Lee, "Automatic Segmentation of MR Brain Images Using Spatially Varying Gaussian Mixture and Markov Random Field Approach", IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition, June 2006, New York City, New York.
X. Li and W. G. Wee, "A Data Fusion Method for 3D Object Reconstruction from Range Images," Optical Engineering (OE), Vol. 44(10), Article ID (107706) page 1-11, Oct. 2005.
Z. Peng, W. G. Wee, and J. H. Lee, "MR Brain Imaging Segmentation Based on Spatial Gaussian Mixture Model and Markov Random Field", IEEE International Conference on Image Processing, Vol.1, pp. 313-316, September 2005, Genoa, Italy.
Z. Peng, J. Zhong, W. G. Wee, and J. H. Lee, "Automated Vertebra Segmentation and Quantification Algorithm of the Whole Spine MR Images", 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, September 2005, Shanghai, China?
Z. Peng, W. G. Wee, and J. H. Lee, "A New Model Based Method to Automatic MR Brain Image Segmentation", Proceedings of 13th Annual Meeting of International Society for Magnetic Resonance in Medicine, 2005, Miami, Florida.
X. Li, C. Han, W. G. Wee, "Surface Reconstruction of 3D Objects," Int. Conf. on Computer Vision and Graphics (ICCVG2004), pp. 642-647, Sept. 2004, published by Springer in the book series COMPUTATIONAL IMAGING AND VISION, Vol. 32, 2006 (ISBN: 1-4020-4178-0)
L. He, K. Zhang, and W. G. Wee, “Constrained Optimization Approach for 3D Human Brain Image Segmentation”, 8th International Conference on Computing, Communications and Control technologies (CCCT), August 2004, Austin, Texas.
X. Wang, L. He, and W G. Wee, “Deformable Contour Method: A Constrained Optimization Approach”, International Journal of Computer Vision, 59(1): 87-108, August 2004.
L. He, C.Y. Han, X. Wang, B. Everding, and W. G. Wee, “Graph Matching for Object Recognition and Recovery”, Pattern Recognition, p1561-1564, Vol. 37, No. 7, July 2004
X. Li, and W. G. Wee, “Range Image Fusion for Object Reconstruction and Modeling”, Proceedings of The 1st Canadian Conference on Computer and Robot Vision, p 306-313, May 2004.
Z. Peng, W. G. Wee, J. Zhong, and J. H. Lee, “Segmentation of B1 Inhomogeneity MR Brain Image Using Mixture Gaussian Model and Markov Random Field”, Proceedings of 12th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM’2004) May 2004.
X. Li, F. Gao, C.Y. Han, B. Everding, X. Wang and W.G. Wee, “ An Accurate Registration Method for Large Object Surface Reconstruction from Range Images”, WSEAS Transactions on Circuits and Systems p502-507, Issue 3, Vol. 3, May 2004.
X. Li, and W. G. Wee, “Integration Method for 3D Model Reconstruction”, The 16th Annual Symposium Electronic Imaging January 18-24, 2004, San Jose, California.
C. Han, X. Wang, F. Gao, Z. Peng, X. Li, L. He, and W. G. Wee, “On Constrained Optimization Approach to Object Segmentation”, WSEAS Transactions on Biology and Biomedicine, p150-160, Issue 1, Vol. 1, January 2004.
X. Wang, Z. Peng, F. Gao, and W.G. Wee, “Deformable Contour Method Based on the Variational Approach to a Constrained Optimization Formulation”, IEE Electronics Letters Vol. 40, No.2, p110-112, January 2004.
F. Gao, X. Li, X. Wang, and W. G. Wee, “Gradient Flow Optimization Approach for Block Effects Reduction of Transform Coding”, International Journal of Applied Math & Computer Science, Vol.14, No.1, p105-111, 2004.
F. Gao, X. Wang, Y. Zhao and W. G. Wee, “Wavelet Based Vector Clustering Computation to Embedded Coding”, Proceedings of the 2nd International Conference on Computational Intelligence, Robotics, and Autonomous Systems (CIRAS), December 2003, Singapore.
X. Wang, Z. Peng, F. Gao, and W. G. Wee, “A Model Set Based Object Segmentation Method Using Level Set Approach”, Proceedings of the VIIth Biennial Australia Pattern Recognition Society Conference – DICTA 2003 (Digital Image Computing: Techniques and Applications) Volume II, p967-976, December 2003.
X. Wang, F. Gao, Z. Peng, L. He, and W. G. Wee, “An Integrated Approach to the Segmentation and Recognition of Objects using Thin Plate Spline Method”, Proceedings of 16th International Conference on Vision Interface, June 2003, Halifax, Canada, p188-195.
C. Y. Han, H. Chen, L. He and W. G. Wee, “A Web-based Distributed Image Processing System”, IS&T/SPIE’s 15th Annual Symposium, January 2003, Santa Clara, California.
X. Li, L. He, B. Everding, C. Y. Han and W. G. Wee, “Accurate Surface Reconstruction of Large 3D Objects from Range Data”, IS&T/SPIE’s 15th Annual Conference, January 2003, San Jose, California.
X. Wang, L. He, C.Y. Han, W.G. Wee, "Deformable contour method: a constrained optimization approach", British Machine Vision Conference 2002, pp. 183-192.
X. Li, F. Gao, B. Everding, L. He, W.G. Wee, "Error analysis, modeling, and correction for 3D range data", IEEE International Conference on Image Processing, Vol. III, p.873-876, 2002.
L. He, C.Y. Han, X. Wang, W.G. Wee, "A skeleton-based shape matching and recovery approach", IEEE International Conference on Image Processing, Vol. III, pp.789-792, 2002.
X. Wang, L. He, W.G. Wee, "Constrained optimization: a geodesic snake approach", IEEE International Conference on Image Processing, Vol. II, pp.77-80, 2002.
F. Gao, X. Li, W.G. Wee, "A new wavelet based deblocking algorithm for compressed images", Proceedings of 36th Asilomar Conference on Signals, Systems and Computers, IEEE 2002, pp. 1745-1748.
X. Wang, L. He, Y. Tang, W.G. Wee, "A divide and conquer deformable contour method with a model based searching algorithm", IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics, Vol. 33, No.5, p 738-751, October 2003.
Wen Jian Wang, X. Wu, W.G. Wee, "Computed-tomography-based Precision Inspection and Shape Extraction Using Facet Model", Optical Engineering, Vol.39, No.1, p114-126, Jan. 2000.
X. S. Zhou, R. Yin, W. Wang, X. Wu, W. G. Wee, "Calibration, Parameter Estimation and Acurracy Enhancement of a Four-dimensional Image Camera Turntable System", Optical Engineering, Vol.39, No.1, p170-174, Jan.2000.