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Programming Computer Vision With Python

Programming Computer Vision With Python

Programming Computer Vision With Python
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Programming Computer Vision With Python Paperback - 2012

by Solem, Jan Erik,

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For readers needing a basic understanding of Computer Vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. Examples written in Python are provided with modules for handling images, mathematical computing, and data mining.

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Details

  • Title Programming Computer Vision With Python
  • Author Solem, Jan Erik,
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 260
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media, n
  • Publication date 2012-07-24
  • Features Bibliography, Index, Price on Product - Canadian, Table of Contents
  • Bookseller's Inventory # 15700330-n
  • ISBN 9781449316549 / 1449316549
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9.16 x 7.06 x 0.68 in (23.27 x 17.93 x 1.73 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - General Information
  • Dewey Decimal Code 006.6
  • Quantity available 5

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From the publisher

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

Programming Computer Vision with Python explains computer vision in broad terms that won't bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you've learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

  • Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
  • Work with image mappings and transforms, such as texture warping and panorama creation
  • Compute 3D reconstructions from several images of the same scene
  • Organize images based on similarity or content, using clustering methods
  • Build efficient image retrieval techniques to search for images based on visual content
  • Use algorithms to classify image content and recognize objects
  • Access the popular OpenCV library through a Python interface

About the author

Jan Erik Solem is a Python enthusiast and a computer vision researcher and entrepreneur. He is an applied mathematician and has worked as associate professor, startup CTO, and now also book author. He sometimes writes about computer vision and Python on his blog www.janeriksolem.net. He has used Python for computer vision in teaching, research and industrial applications for many years. He currently lives in San Francisco.

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