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Mastering OpenCV Android Application Programming

By : Kapur, Nisarg Thakkar

4.5 (4)

Mastering OpenCV Android Application Programming

4.5 (4)

By: Kapur, Nisarg Thakkar

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Applying Effects to Images

1. Applying Effects to Images

Getting started

Setting up OpenCV

Storing images in OpenCV

Linear filters in OpenCV

Summary

2. Detecting Basic Features in Images

2. Detecting Basic Features in Images

Creating our application

Edge and Corner detection

Hough transformations

Contours

Project – detecting a Sudoku puzzle in an image

Summary

3. Detecting Objects

3. Detecting Objects

What are features?

Scale Invariant Feature Transform

Matching features and detecting objects

Speeded Up Robust Features

Oriented FAST and Rotated BRIEF

Binary Robust Invariant Scalable Keypoints

Fast Retina Keypoint

Summary

4. Drilling Deeper into Object Detection – Using Cascade Classifiers

4. Drilling Deeper into Object Detection – Using Cascade Classifiers

An introduction to cascade classifiers

Face detection using the cascade classifier

HOG descriptors

Project – Happy Camera

Summary

5. Tracking Objects in Videos

5. Tracking Objects in Videos

Optical flow

Image pyramids

Basic 2D transformations

Global motion estimation

The Kanade-Lucas-Tomasi tracker

Summary

6. Working with Image Alignment and Stitching

6. Working with Image Alignment and Stitching

Image stitching

Summary

7. Bringing Your Apps to Life with OpenCV Machine Learning

7. Bringing Your Apps to Life with OpenCV Machine Learning

Optical Character Recognition

Solving a Sudoku puzzle

Summary

8. Troubleshooting and Best Practices

8. Troubleshooting and Best Practices

Troubleshooting errors

Best practices

Summary

9. Developing a Document Scanning App

9. Developing a Document Scanning App

Let's begin

The algorithm

Implementing on Android

Summary

Index

Index

Chapter 5. Tracking Objects in Videos

Object tracking is one of the most important applications of computer vision. It can be used for many applications, some of which are as follows:

Human–computer interaction: We might want to track the position of a person's finger and use its motion to control the cursor on our machines
Surveillance: Street cameras can capture pedestrians' motions that can be tracked to detect suspicious activities
Video stabilization and compression
Statistics in sports: By tracking a player's movement in a game of football, we can provide statistics such as distance travelled, heat maps, and so on

In this chapter, you will learn the following topics:

Optical flow
Image Pyramids
Global Motion Estimation
The KLT tracker

CONTINUE READING

83

Tech Concepts

36

Programming languages

73

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