Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications Contributor(s): Lin, Zhouchen (Author), Zhang, Hongyang (Author) |
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ISBN: 0128127317 ISBN-13: 9780128127315 Publisher: Academic Press OUR PRICE: $104.50 Product Type: Paperback Published: June 2017 |
Additional Information |
BISAC Categories: - Computers | Image Processing - Technology & Engineering | Engineering (general) - Computers | Computer Vision & Pattern Recognition |
Series: Computer Vision and Pattern Recognition |
Physical Information: 260 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |