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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 : Salil Kapur, Nisarg Thakkar
4.5 (4)
Buy this Book
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

4.5 (4)
By: Salil 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
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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
8
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

Best practices

A mobile platform is not as powerful as a personal computer and hence requires developers to be extra cautious while building applications for mobile devices. A badly written code can make your application sluggish, hence, it is very important to write the code while keeping in mind the resource constraints of a mobile device, such as limited RAM, limited processing capabilities, and small cache size.

Here are a list of things that can affect an application's performance and should be taken care of while building an application:

  • Memory leaks: It is important to manage variables in the code properly. Because most of the code is written in Java, the developers need not spend much time on handling memory, as Java does this explicitly. While using C/C++, it becomes extremely important to handle variables in your code.

  • 
Duplicate data: While handling large amounts of data in applications that use datasets to train machine learning algorithms, we should avoid having multiple copies...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Mastering OpenCV Android Application Programming
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