|
Sam Johnson PhD Student School of Computing, University of Leeds United Kingdom, LS2 9JT E-mail: mat4saj@leeds.ac.uk |
About Me
After graduating from the University of Leeds with a first class BSc (hons) in Computer Science I chose to undertake a Ph.D. in the Computer Vision Group supervised by Dr. Mark Everingham and Prof. David Hogg.
Research
Through my research I am aiming to develop computer vision methods for human pose estimation in images and video taken in uncontrolled environments, with unknown lighting, anatomy, clothing, etc. Success would contribute to all image understanding applications involving humans, such as searching photos, interpreting CCTV footage, automatically narrating video for visually impaired viewers, autonomous robots, etc.
Publications
 |
S. Johnson and M. Everingham "Combining Discriminative Appearance and Segmentation Cues for Articulated Human Pose Estimation" In proceedings of the 2nd IEEE International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA09), in conjunction with ICCV2009. PDF Poster (Presented at BMVA Summer School 2009, Winner of best poster award) |
Theses
 |
S. Johnson "Video Super-resolution from Scene Specific Images" Undergraduate thesis, University of Leeds, June 2008. Winner of best undergraduate project prize, the Buckley Prize |