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Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images

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Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images Cover

 

Synopses & Reviews

Publisher Comments:

If you want a basic understanding of computer visions underlying theory and algorithms, this hands-on introduction is the ideal place to start. Youll 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 wont 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 youve 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

Synopsis:

If you want a basic understanding of computer visions underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, youll learn as you follow examples written in Python—the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives.

Programming Computer Vision with Python teaches computer vision in broad terms that wont bog you down in theory. Instead, youll find this book to be inspiring and motivating. Youll get all the code you need, with clear explanations on how to reproduce the books examples and build upon them directly.

About the Author

author bio coming soon

Table of Contents

PrefaceChapter 1: Basic Image Handling and ProcessingChapter 2: Local Image DescriptorsChapter 3: Image to Image MappingsChapter 4: Camera Models and Augmented RealityChapter 5: Multiple View GeometryChapter 6: Clustering ImagesChapter 7: Searching ImagesChapter 8: Classifying Image ContentChapter 9: Image SegmentationChapter 10: OpenCVInstalling PackagesImage DatasetsImage CreditsReferencesAbout the AuthorColophon

Product Details

ISBN:
9781449316549
Author:
Solem, Jan Erik
Publisher:
O'Reilly Media
Subject:
Computer Vision
Subject:
Computers-Reference - General
Subject:
Python;computer vision;image processing
Subject:
CourseSmart Subject Description
Copyright:
Edition Description:
Print PDF
Publication Date:
20120631
Binding:
TRADE PAPER
Language:
English
Pages:
264
Dimensions:
9.19 x 7 in

Related Subjects

Computers and Internet » Artificial Intelligence » Image Processing
Computers and Internet » Computer Languages » Python
Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » General
Science and Mathematics » Mathematics » General

Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images New Trade Paper
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$49.99 In Stock
Product details 264 pages O'Reilly Media - English 9781449316549 Reviews:
"Synopsis" by ,

If you want a basic understanding of computer visions underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, youll learn as you follow examples written in Python—the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives.

Programming Computer Vision with Python teaches computer vision in broad terms that wont bog you down in theory. Instead, youll find this book to be inspiring and motivating. Youll get all the code you need, with clear explanations on how to reproduce the books examples and build upon them directly.

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