Date: | June 30th, 2004 |
Location: | DC 1304 |
Time: | 2:30 PM |
Chair: |
Stephen Mann |
Date: | July 7th | July 14th | July 21th | July 28th |
Location: | DC1304 | DC1304 | DC1304 | DC1304 |
Chair: |
Michael McCool |
Gabriel Moreno |
Kevin Moule |
Tiberiu Popa |
Technical
Presentation: |
Robin Liu |
Michael McCool |
Rob Kroeger |
Gabriel Moreno |
Yi Lin |
Title: Shape and Motion from Image Streams: A Factorization Method
Abstract: Inferring scene geometry and camera motion from a stream of images is possible in principle, but it is an ill-conditioned problem when the objects are distant with respect to their size. A factorization method was developed to overcome this difficulty by recovering shape and motion without computing depths as an intermediate step.
An image stream can be represented by the 2FxP measurement matrix of the image coordinates of P points tracked through F frames. Under orthographic porjection this matrix is of rank 3. Using this observation, the factorization method uses the singular value decomposition technique to factor the measurement matrix into two matrices, which represent object shape and camera motion, respectively.