Referenced Items are not available for this document.
This paper presents the application of a very efficient multiresolution transformation, which is related to the renormalization group approach of physics, to the problem of motion segmentation. The approach proposed is much faster and yields much better results than the full resolution approach. The problem is formulated as one of global optimization where a cost function is constructed to combine the information obtained by various processors as well as the constraints we impose to the problem. The cost function is optimized using the supercoupling multiresolution approach
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:20
,
Issue:
5
)
Date of Publication: May 1998
- Page(s):
- 550 - 555
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 5942329
- Digital Object Identifier :
- 10.1109/34.682185
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1998
- Sponsored by :
- IEEE Computer Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
