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Vision with Direction

A Systematic Introduction to Image Processing and Computer Vision

  • Josef Bigun

Table of contents

  1. Front Matter
    Pages I-XV
  2. Human and Computer Vision

    1. Front Matter
      Pages 1-1
    2. Pages 21-32
  3. Linear Tools of Vision

  4. Vision of Single Direction

  5. Vision in Multiple Directions

    1. Front Matter
      Pages 309-309
  6. Grouping, Segmentation, and Region Description

  7. Back Matter
    Pages 379-396

About this book

Introduction

Image analysis is a computational feat which humans show excellence in, in comp- ison with computers. Yet the list of applications that rely on automatic processing of images has been growing at a fast pace. Biometric authentication by face, ?ngerprint, and iris, online character recognition in cell phones as well as drug design tools are but a few of its benefactors appearing on the headlines. This is, of course, facilitated by the valuable output of the resarch community in the past 30 years. The pattern recognition and computer vision communities that study image analysis have large conferences, which regularly draw 1000 parti- pants. In a way this is not surprising, because much of the human-speci?c activities critically rely on intelligent use of vision. If routine parts of these activities can be automated, much is to be gained in comfort and sustainable development. The - search ?eld could equally be called visualintelligence because it concerns nearly all activities of awake humans. Humans use or rely on pictures or pictorial languages to represent, analyze, and develop abstract metaphors related to nearly every aspect of thinking and behaving, be it science, mathematics, philosopy, religion, music, or emotions. The present volume is an introductory textbook on signal analysis of visual c- putation for senior-level undergraduates or for graduate students in science and - gineering. My modest goal has been to present the frequently used techniques to analyze images in a common framework–directional image processing.

Keywords

ASTER LED Tracking image analysis image processing signal analysis

Authors and affiliations

  • Josef Bigun
    • 1
  1. 1.IDE-SektionenHalmstadSweden

Bibliographic information

  • DOI https://doi.org/10.1007/b138918
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-27322-6
  • Online ISBN 978-3-540-27323-3
  • Buy this book on publisher's site
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