Optimization for Computer Vision, 1st Edition

  • Published By:
  • ISBN-10: 1447152832
  • ISBN-13: 9781447152835
  • DDC: 006.37
  • Grade Level Range: College Freshman - College Senior
  • 257 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
1: Introduction.
2: Continuous Optimization.
3: Linear Programming and the Simplex Method.
4: Variational Methods.
5: Correspondence Problems.
6: Graph Cuts.
7: Dynamic Programming (DP).