On a Decomposition Model for Optical Flow
| Autor: | Otmar Scherzer, Jochen Abhau, Zakaria Belhachmi |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Mathematical optimization
Variational method Texture (cosmology) Computer science Computer Science::Computer Vision and Pattern Recognition Noise reduction Component (UML) Bounded variation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Optical flow Decomposition (computer science) Besov space Applied mathematics |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642036408 EMMCVPR University of Vienna-u:cris |
| DOI: | 10.1007/978-3-642-03641-5_10 |
| Popis: | In this paper we present a variational method for determining cartoon and texture components of the optical flow of a noisy image sequence. The method is realized by reformulating the optical flow problem first as a variational denoising problem for multi-channel data and then by applying decomposition methods. Thanks to the general formulation, several norms can be used for the decomposition. We study a decomposition for the optical flow into bounded variation and oscillating component in greater detail. Numerical examples demonstrate the capabilities of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|