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Nonrigid Structure from Motion in Trajectory Space
Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of shape basis, which have to be estimated anew for each video sequence. In contrast, we propose that the evolving 3D structure be described by a linear combination of basis trajectories. The principal advantage of this approach is that we do not need to estimate any basis vectors during computation. We show that generic bases over trajectories, such as the Discrete Cosine Transform (DCT) basis, can be used to compactly describe most real motions. [more]

The Computer Vision Lab was established in 2003 as the first graduate research lab in the Department of Computer Science, LUMS, and the first computer vision lab in Pakistan. Our current research focuses on structure from motion, fast image registration, biomedical image analysis and applications of computer vision for the developing world. Research activities in the lab are funded by grants from various agencies, including the US National Science Foundation and Pakistan's National ICT R&D Fund.