Mark Cox
Postdoctoral Fellow ICT
Contact
Science Area
- Imaging and Computer Vision
Biography
The fields of computer vision and machine learning are my research interests. My work to date has been in the area of unsupervised registration of image ensembles and non-rigid structure from motion.
I am particularly interested in the unsupervised image registration application as it has the potential to decrease the high level of human involvement needed to initialise current machine object recognition systems.
Summary of Science & Technical Output
| Books/Book chapters |
0 |
| Journal |
1 |
| Refereed Conference/Workshop |
5 |
| Technical/Client Reports |
0 |
| Invited Presentations |
0 |
| Patents |
0 |
Top 10 Publications
| Publication details |
| Y. Zhu and M. Cox and S. Lucey, "3D motion Reconstruction for Real-world Camera Motion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June. 2011 |
| M. Cox and S. Lucey and S. Sridharan and J.Cohn, "Least-squares Congealing for Large Numbers of Images", IEEE International Conference on Computer Vision (ICCV), Oct. 2009 |
| S. Lucey and Y. Wang and M. Cox and S. Sridharan and J. Cohn, "Efficient Constrained Local Model Fitting for Non-Rigid Face Alignment", Journal of Image and Vision Computing, vol 27, pp. 1804-1813, Nov. 2009 |
| M. Cox and S. Lucey and S. Sridharan and J. Cohn, "Least-squares congealing for unsupervised alignment of images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June. 2008 |
| P. Lucey and S. Lucey and M. Cox and S. Sridharan and J. Cohn, "Comparing Object Alignment Algorithms with Appearance Variation: Forward-additive vs Inverse-composition", IEEE Workshop on Multimedia Signal Processing, Oct. 2008 |
| J.Cook and M. Cox and V. Chandran and S. Sridharan, "Robust 3D Face Recognition from Expression Categorisation", Lecture Notes in Computer Science: Advances in Biometrics, vol 4642, pp. 271-280, 2007 |
Number of citations
