Optimization for Computer Vision

An Introduction to Core Concepts and Methods
Softcover Nachdruck of the original 1. Auflage 2013
ISBN: 978-1-4471-7065-5
Verlag: Springer

Buch, Englisch, 257 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4656 g

Reihe: Advances in Computer Vision and Pattern Recognition

This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.

Zielgruppe

Research

Autoren/Hrsg.

Treiber, Marco Alexander

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Introduction.- Continuous Optimization.- Linear Programming and the Simplex Method.- Variational Methods.- Correspondence Problems.- Graph Cuts.- Dynamic Programming.