Estimating piecewise-smooth optical flow with global matching and graduated optimization
Ye, M.
Haralick, R.M.
Shapiro, L.G.
Microsoft Corp., Redmond, WA, USA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Dec. 2003
Volume: 25,
Issue: 12
On page(s): 1625- 1630
ISSN: 0162-8828
INSPEC Accession Number: 7858153
Digital Object Identifier: 10.1109/TPAMI.2003.1251156
Current Version Published: 2003-12-08
Abstract
This paper presents a new method for estimating piecewise-smooth optical flow. We propose a global optimization formulation with three-frame matching and local variation and develop an efficient technique to minimize the resultant global energy. This technique takes advantage of local gradient, global gradient, and global matching methods and alleviates their limitations. Experiments on various synthetic and real data show that this method achieves highly competitive accuracy.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
