Dr Jing Wu
Computer Science & Informatics,
5 The Parade, Roath,
Cardiff CF24 3AA, UK
Phone: +44 (0) 29 20 688810
Fax: +44 (0) 29 20 874598
Room Number: WX/2.06
My research interests lie in the areas of 3D visual reconstruction and it application.
I currently have particular interests in
- image-based high resolution surface reconstruction,
- 3D face reconstruction and transformation, and
- visual SLAM.
July 2013 - Jun 2016
EPSRC: Realistic Shape from Shading
The aim of this project is to develop an interactive SFS platform and combine techniques from image processing, shape-from-X etc. to achieve accurate shape recovery from sophisticated real-world images.
Experimental images for this project can be downloaded here.
Sep 2009 - Jun 2013
RIVIC: Vision-based Geometric Modelling
The main topic of my research in this project is geometric generation of bas-reliefs from photographs using SFS
S. Liu, J. Xiao, J. Liu, X. Wang, J. Wu, J. Zhu. Visual Diagnosis of Tree Boosting Methods. IEEE Transactions on Visualization and Computer Graphics, 24(1): 163-173, 2018.
J. Wu, P.L. Rosin, X. Sun, R.R. Martin. Improve Shape from Shading with Interactive Tabu Search. Journal of Computer Science and Technology, 31(3): 450-462, 2016.
J. Wu, R.R. Martin, P.L. Rosin, X.-F. Sun, Y.-K. Lai, Y.-H. Liu, C. Wallraven. Use of Non-Photorealistic Rendering and Photometric Stereo in Making Bas-reliefs from Photographs. Graphical Models, 76(4): 202-213, 2014.
J. Wu, R.R. Martin, P.L. Rosin, X.-F. Sun, F.C. Langbein, Y.-K. Lai, A.D. Marshall, Y.-H. Liu. Making Bas-reliefs from Photographs of Human Faces. Computer-Aided Design, 45(3): 671-682, 2013.
J. Wu, W.A.P. Smith, and E.R. Hancock. Gender Discriminating Models from Facial Surface Normals. Pattern Recognition, 44(12): 2871-2886, 2011.
M. Kawulok, J. Wu, and E.R. Hancock. Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognition, 44(4): 929-939, 2011.
J. Wu, W.A.P. Smith, and E.R. Hancock. Facial Gender Classification using Shape from Shading. Image and Vision Computing, 28(6): 1039-1048, 2010.
J. Wu, Z. Ji. Seeing the Unseen: Locating Objects from Reflections. In Proc. TAROS 2018 (LNCS vol:10965, pp.221-233). (Best Paper Prize)
Lichi Zhang, Edwin R. Hancock, and Jing Wu. Estimating Surface Characteristics and Extracting Features from Polarisation. In Proc. SSPR/SPR 2012 (LNCS vol:7626, pp:400-408).
Z. Zhang, E.R. Hancock, and J. Wu. An Information Theoretic Approach to Gender Feature Selection. In Proc. IEEE ICCV Workshops, pages 1425-1431, 2011.
J. Wu, W.A.P. Smith, and E.R. Hancock. Semi-supervised Feature Selection for Gender Classification. In Proc. ACCV, pages 23-33, 2009.
J. Wu, W.A.P. Smith, E.R. Hancock, and M. Kawulok. Extracting Gender Discriminating Features from Facial Needle-maps. In Proc. IEEE ICIP, pages 2449-2452, 2009.
Jing Wu, William A.P. Smith, Edwin R. Hancock. Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. In Proc. SSPR/SPR 2008
(LNCS vol:5342, pp:664-673).
Jing Wu, William A.P. Smith, Edwin R. Hancock. Gender Classification based on Facial Surface Normals. In Proc. ICPR 2008.
Jing Wu, William A.P. Smith, Edwin R. Hancock. Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. In Proc. ICIAR 2008 (LNCS vol:5112, pp:925-934).
Jing Wu, William A.P. Smith, Edwin R. Hancock. Weighted Principal Geodesic Analysis for Facial Gender Classification. In Proc. CIARP 2007 (LNCS vol:4756, pp:331-339).
Jing Wu, William A.P. Smith, Edwin R. Hancock. Gender Classification using Shape from Shading. In Proc. BMVC 2007. (Best Security Paper Prize)
Jing Wu, William A.P. Smith, Edwin R. Hancock. Learning Mixture Models for Gender Classification Based on Facial Surface Normals. In Proc. IbPRIA 2007 (1) (LNCS vol:4477, pp:39-46).
Jing Wu, William A.P. Smith, Edwin R. Hancock. Gender Classification using Principal Geodesic Analysis and Gaussian Mixture Models. In Proc. CIARP 2006 (LNCS vol:4225, pp:58-67).