This talk will give an overview of a variety of projects of my group that involve, in some form or other, subspace analysis. Some of the work emphasizes the statistics and accuracy of fitting, other parts of the work look at on-line (vs batch) implementation and general computational acceleration. Applications include face recognition, structure from motion, pose estimation, human motion capture.

About David Suter
David Suter holds a BSc in Applied Mathematics and Physics (Flinders), a Grad. Dip. Comp. (RMIT) and a PhD (La Trobe) in Computer Science with a thesis title containing the usual mix of important sounding words relating to computer vision. He has lectured at La Trobe (Lecturer 1988-1991) and at Monash (1992-present - first as Senior Lecturer, Assoc. Prof., Professor ) Universities. His research activities focuses on topics such as: motion estimation from images (including optic flow), structure from motion, image segmentation, biomedical image analysis, human motion capture and animation, visual tracking, activity detection and classification, face recognition, and the construction of building models from laser scan and image data. He is a member of the ARC Centre for Perceptive and Intelligent Machines in Complex Environments, and the Institute for Vision Systems Engineering (the latter he directs). Currently he is an associate editor for the International Journal of Computer Vision, and for the journal Machine Vision and Applications (having also served as an associate editor for the International Journal of Image and Graphics).