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  • Book Overview & Buying Mastering OpenCV Android Application Programming
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

By : Kapur, Nisarg Thakkar
4.5 (4)
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

4.5 (4)
By: Kapur, Nisarg Thakkar
Buy this Book

Overview of this book

If you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Applying Effects to Images
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1. Applying Effects to Images
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Getting started
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Setting up OpenCV
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Storing images in OpenCV
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Linear filters in OpenCV
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Summary
2
2. Detecting Basic Features in Images
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2. Detecting Basic Features in Images
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Creating our application
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Edge and Corner detection
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Hough transformations
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Contours
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Project – detecting a Sudoku puzzle in an image
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Summary
3
3. Detecting Objects
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3. Detecting Objects
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What are features?
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Scale Invariant Feature Transform
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Matching features and detecting objects
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Speeded Up Robust Features
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Oriented FAST and Rotated BRIEF
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Binary Robust Invariant Scalable Keypoints
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Fast Retina Keypoint
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Summary
4
4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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An introduction to cascade classifiers
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Face detection using the cascade classifier
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HOG descriptors
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Project – Happy Camera
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Summary
5
5. Tracking Objects in Videos
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5. Tracking Objects in Videos
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Optical flow
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Image pyramids
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Basic 2D transformations
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Global motion estimation
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The Kanade-Lucas-Tomasi tracker
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Summary
6
6. Working with Image Alignment and Stitching
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6. Working with Image Alignment and Stitching
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Image stitching
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Summary
7
7. Bringing Your Apps to Life with OpenCV Machine Learning
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7. Bringing Your Apps to Life with OpenCV Machine Learning
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Optical Character Recognition
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Solving a Sudoku puzzle
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Summary
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8. Troubleshooting and Best Practices
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8. Troubleshooting and Best Practices
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Troubleshooting errors
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Best practices
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Summary
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9. Developing a Document Scanning App
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9. Developing a Document Scanning App
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Let's begin
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The algorithm
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Implementing on Android
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Summary
10
Index
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Index

Chapter 3. Detecting Objects

One of the common applications of computer vision is to detect objects in an image or video. For example, we can use this method to detect a particular book in a heap of many books. One of the methods to detect objects is feature matching. In this chapter, we will learn the following topics:

  • What are features?
  • Feature detection, description, and matching in images
  • SIFT detector and descriptor
  • SURF detector and descriptor
  • ORB detector and descriptor
  • BRISK detector and descriptor
  • FREAK descriptor
CONTINUE READING
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Tech Concepts
36
Programming languages
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Mastering OpenCV Android Application Programming
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