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About This Book
Understand and utilise the features of OpenCV, Android SDK, and OpenGL
Detect and track specific objects in a video using Optical Flow and Lucas Kanade Tracker
An advanced guide full of real-world examples, helping you to build smart OpenCV Android applications
Who This Book Is For
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.
What You Will Learn
Understand image processing using OpenCV
Detect specific objects in an image or video using various state-of-the-art feature-matching algorithms such as SIFT, SURF, and ORB
Perform image transformations such as changing color, space, resizing, applying filters like Gaussian blur, and likes
Use mobile phone cameras to interact with the real world
Explore face detection, object detection, and image stitching in OpenCV Android programming
Build smarter applications by using machine learning algorithms
Learn to debug applications and create optimal custom algorithms by understanding how data is stored internally
OpenCV is a famous computer vision library, used to analyze and transform copious amounts of image data, even in real time and on a mobile device.
This book focuses on leveraging mobile platforms to build interactive and useful applications. The book starts off with an introduction to OpenCV and Android and how they interact with each other using OpenCV´s Java API. You´ll also discover basic image processing techniques such as erosion and dilation of images, before walking through how to build more complex applications, such as object detection, image stitching, and face detection. As you progress, you will be introduced to OpenCV´s machine learning framework, enabling you to make your applications smarter.
The book ends with a short chapter covering useful Android tips and tricks and some common errors and solutions that people might face while building an application. By the end of the book, readers will have gained more expertise in building their own OpenCV projects for the Android platform and integrating OpenCV application programming into existing projects.
Table of Contents
1: APPLYING EFFECTS TO IMAGES
2: DETECTING BASIC FEATURES IN IMAGES
3: DETECTING OBJECTS
4: DRILLING DEEPER INTO OBJECT DETECTION - USING CASCADE CLASSIFIERS
5: TRACKING OBJECTS IN VIDEOS
6: WORKING WITH IMAGE ALIGNMENT AND STITCHING
7: BRINGING YOUR APPS TO LIFE WITH OPENCV MACHINE LEARNING
8: TROUBLESHOOTING AND BEST PRACTICES
9: DEVELOPING A DOCUMENT SCANNING APP