Hongchuan Yu

Dr Hongchuan Yu

  • 01202 961883
  • hyu at bournemouth dot ac dot uk
  • Principal Academic in Computer Animation
  • Tolpuddle House TA121, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Hongchuan Yu (PhD(2000), MSc(1996), BSc(1990)) is a Lecturer of computer graphics in National Centre for Computer Animation, Bournemouth University. He received his PhD in automatic control, Chinese Academy of Sciences (Beijing, China), in 2000. After that, he worked as research fellow with Dept. of Computer Science, Tsinghua University (Beijing), School of Electrical and Electronic Engineering, Nanyang Technological University (Singapore) and School of Computer Science & Software Engineering, The University of Western Australia (Perth). He has published more than 50 academic articles in reputable journals and conferences, and regularly served as PC members/referees for international journals and conferences, including Journals, IEEE TPAMI, IEEE TIP, IEEE TVCG, IVC, PR, CVIU, PRL, CAD, and conference CGI, CGVCVIP, etc. His is currently teaching 2 courses, one is Algorithm Design and Analysis for undergraduate level, and the other is Numerical Algorithms of Linear and Nonlinear Optimization for PhD students...



Project 1. Foldover-free Surface Parameterization: Application to Texture Mapping, (http://vision.csie.ncku.edu.tw/~ichenyeh/homepage/publication/2012_TVCG/) Application to High Dimensional Dataset, (http://www.sciencedirect.com/science/article/pii/S1532046413002025)

Project 2: Discrete geodesics on Meshes

The main contribution is to approximate to the limit of running time for continuous Dijkstra style methods, i.e. O(n^1.5). http://i.cs.hku.hk/~xghan/Projects/VTP.htm

Journal Articles


  • Yu, H., Yang, X. and Zhang, J.J., 2010. Constrained Texture Mapping And Foldover-free Condition. ICMV2010: 3rd International Conference on Machine Vision, Hong Kong, 28-30 December 2010. Proceedings. IEEE press, 136-143.
  • Yu, H. and Zhang, J.J., 2010. An Extension of Principal Component Analysis. In: Oravec, M., ed. Face Recognition. In-Tech, 21-34.
  • Yu, H., 2010. N-Dimensional Principal Component Analysis. FCV 2010: Proceedings of 16th Korea-Japan Joint workshop on Frontiers of Computer vision. IEEE Press.
  • Yu, H., 2010. Apply GPCA to Motion Segmentation. In: Zhang, J.J., Shao, L., Zhang, L. and Jones, G.A., eds. Intelligent Video Event Analysis and Understanding. Springer-Verlag, 21-38.
  • Chen, W., Yu, H. and Zhang, J.J., 2009. Example Based Caricature Synthesis. CASA 2009: Proceedings of Conference on Computer Animation and Social Agents. Den Haag, Netherlands: CIP Gegevens Koninklijke Bibliotheek,.
  • Yu, H. and Bennamoun, M., 2006. 1D-PCA, 2D-PCA to nD-PCA. ICPR 2006: Proceedings of 18th International Conference on Pattern Recognition, 2006. IEEE Press.
  • Yu, H. and Bennamoun, M., 2006. Simplified Representation of Large or Medium Range Dataset. VISAPP 2006: Proceedings of International Conference on Computer Vision Theory and Applications 2006. INSTICC - Institute for Systems and Technologies of Information, Control and Communication.
  • Yu, H. and Bennamoun, M., 2005. A Phase Correlation Approach to Active Vision. Computer Analysis of Images and Patterns. Berlin / Heidelberg: Springer, 57-64.
  • Yu, H. and Bennamoun, M., 2005. Complete invariant description under usual Fourier-Mellin transform. Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.. IEEE Press, 815-818.
  • Yu, H. and Bennamoun, M., 2005. A Compact and Complete AFMT Invariant with Application to Face Recognition. ACIDCA-ICMI'2005: Proceedings of the 2nd International Conference on Machine Intelligence 2005. ACIDCA-ICMI'2005.
  • Yu, H. and Bennamoun, M., 2005. Two Novel Complete Sets of Similarity Invariants. Advances in Visual Computing. Berlin / Heidelberg: Springer, 659-665.
  • Yu, H. and Chua, C.-S., 2004. Image Anisotropic Diffusion Based on Gradient Vector Flow Fields. Computer Vision - ECCV 2004. Berlin / Heidelberg: Springer, 288-301.
  • Sun, Y., Tong, X., Pu, H. and Yu, H., 2004. A shear-warp IBR algorithm using layer representation. CIT '04: Proceedings of The Fourth International Conference on Computer and Information Technology, 2004. IEEE Press.
  • Yu, H. and Chua, C.-S., 2004. Image segmentation and tracking under max/min flow framework. ACCV 2004: Proceedings of Asia Conference on Computer Vision 2004, Korea.. ACCV.
  • Yu, H. and Chua, C.-S., 2003. Image enhancement and denoising under max/min flow framework. ICCV 2003: Proceedings of IEEE workshop on Variational Geometric and Level set methods in Computer vision 2003. IEEE Press.


  • Yu, H., Komura, T. and Zhang, J.J., 2017. Workshop: Data-Driven Animation Technology (D2AT).
  • Wang, J., Tian, F., Wang, X., Yu, H.C., Liu, C.H. and Yang, L., 2017. Multi-Component Nonnegative Matrix Factorization. In: International Joint Conference on Artificial Intelligence 19-25 August 2017 Melbourne, Australia.
  • Wang, J., Tian, F., Liu, C.H., Yu, H.C., Wang, X. and Tang, X.C., 2017. Robust Nonnegative Matrix Factorization with Ordered Structure Constraints. In: International Joint Conference on Neural Networks (IJCNN) 14-19 May 2017 Alaska, USA.
  • Tongpaeng, Y., Sureephong, P., Rattanakhum, M. and Yu, H., 2017. Thai dance knowledge archive framework based on Labanotation represented in 3D animation. 66-70.
  • Wang, J., Tian, F., Liu, C.H. and Yu, H.C., 2016. Adaptive Multi-View Semi-Supervised Nonnegative Matrix Factorization. In: 23rd International Conference on Neural Information Processing 16-21 October 2016 Kyota, Japan.
  • Yu, H., Wang, H. and Deng, J., 2012. New watermarking method using convex chain. In: Wei Sui, ed. Second International Conference on Image and Graphics 26-28 July 2002 Hefei, China.
  • Yu, H. and Zhang, J.J., 2010. Caricature Synthesis Based on Mean Value Coordinates. In: CASA 2010: Proceedings of the 23rd International Conference on Computer Animation and Social Agents 31 May-2 June 2010 Saint-Malo, France.
  • Yu, H. and Chua, C.S., 2004. Image Segmentation and Region Tracking Under generalized Max/Min Flow Framework. In: Hong, K. and Zhang, Z., eds. 6th Asian Conference on Computer Vision 27-30 January 2004 Korea.
  • Yu, H. and Chua, C.-S., 2004. Image Anisotropic Diffusion Based on Gradient Vector Flow Fields. Springer, 288-301.
  • Yu, H., Wang, D. and Tang, Z., 2001. Curve Evolution and 3D Reconstruction. In: Yair Censor, ed. Visualization and Optimization Techniques 25-27 September 2001 Wuhan, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Level Set Methods and Image Segmentation. In: Image Extraction, Segmentation, and Recognition 21-23 September 2001 Wuhan, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Image Segmentation based on Level Set Methods. In: the International Workshop on Medical Imaging and Augmented Reality (MIAR '01) 22-24 June 2001 HongKong, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Level Set Methods and Image Segmentation. IEEE Computer Society, 204.
  • Yu, H. and Wu, F.C., 2000. The Study of KRUPPA Equations. In: 5th International Conference on Signal Processing, 2000. WCCC-ICSP 2000. 8-10 September 2000 Beijing, China.
  • Yu, H. and Wei, S., 2000. The Border Panorama. In: G.H. XU, ed. The 1st International Conference on Image and Graphics 8-10 September 2000 Tianjing, China. the China Society of Image and Graphics.
  • Yu, H., Wu, F.C., Yuan, B. and Wei, S., 2000. Self-Calibration Algorithms of Rotation Cameras. In: The 3rd World Congress on Intelligent Control and Automation, 2000. 23-25 June 2000 Hefei, China.


PhD Students

  • Ying Jiao. Geodesic computation on weighted mesh
  • Yipeng Qin. surface parameterization
  • David Gillespie. Digital cultural heritage
  • Yufei Fu. 3D face expression editing
  • Varun Samudrala. Neuron reconstruction and visualization

Profile of Teaching PG

  • Numerical methods of Linear and Nonlinear Optimization

Profile of Teaching UG

  • Algorithm design and analysis


  • VR/AR Rendering with Application to In Vivo Barriers to Targeted Nanodelivery (Royal Society, 15 Mar 2016). In Progress
  • High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian Intangible Cultural Heritage Digital Content (EUROPEAN COMMISSION Research Executive Agency, 01 Jan 2016). In Progress
The data on this page was last updated at 04:10 on February 21, 2019.