Zhouchen Lin,
Hongyang Zhang
Elsevier Science
e druk, 2017
9780128127315
Low-Rank Models in Visual Analysis
Theories, Algorithms, and Applications
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2017
ISBN13: 9780128127315
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Juridisch
:
Onderdeel van serie
Computer Vision and Pattern Recognition
Levertijd ongeveer 9 werkdagen
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Samenvatting
Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve low-rank models efficiently, and how to apply low-rank models to real problems.
Specificaties
Inhoudsopgave
<p>1. Introduction<br>2. Linear Models<br>3. Nonlinear Models<br>4. Optimization Algorithms<br>5. Representative Applications<br>6. Conclusions</p>
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