Programming Computer Vision with Python

Tools and algorithms for analyzing images

by Jan Erik Solem

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Book Description

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

This open book is licensed under a Creative Commons License (CC BY-NC-ND). You can download Programming Computer Vision with Python ebook for free in PDF format (13.6 MB).

Table of Contents

Chapter 1
Basic Image Handling and Processing
Chapter 2
Local Image Descriptors
Chapter 3
Image to Image Mappings
Chapter 4
Camera Models and Augmented Reality
Chapter 5
Multiple View Geometry
Chapter 6
Clustering Images
Chapter 7
Searching Images
Chapter 8
Classifying Image Content
Chapter 9
Image Segmentation
Chapter 10
Appendix A
Installing Packages
Appendix B
Image Datasets
Appendix C
Image Credits

Book Details

Computer Science
O'Reilly Media
ISBN13 Digital
ISBN10 Digital
PDF Size
13.6 MB

Book Hashtags

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