Low-Rank Models in Visual Analysis : Theories, Algorithms and Applications - Lin

Instant online reading.
Don't wait for delivery!
Go digital and save!

Low-Rank Models in Visual Analysis

Theories, Algorithms and Applications

By: Lin, Zhang

Write A Review

Paperback | 5 June 2017 | Edition Number 1

At a Glance

Paperback
260 Pages

Dimensions(cm)
22.86 x 14.61 x 1.91

Paperback

RRP $187.95

$171.75

or 4 interest-free payments of $42.94 with

or

Ships in 5 to 7 business days

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.

Presents a self-contained, up-to-date introduction that covers underlying theory, algorithms and the state-of-the-art in current applications
Provides a full and clear explanation of the theory behind the models
Includes detailed proofs in the appendices

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.