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Mastering OpenCV Android Application Programming

More Information
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
About

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.

Features
  • 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
Page Count 216
Course Length 6 hours 28 minutes
ISBN 9781783988204
Date Of Publication 28 Jul 2015

Authors

Nisarg Thakkar

Nisarg Thakkar is a software developer and a tech enthusiast in general. He primarily programs in C++ and Java. He has extensive experience in Android app development and computer vision application development using OpenCV. He has also contributed to an OpenCV project and works on its development during his free time. His interests lie in stereo vision, virtual reality, and exploiting the Android platform for noncommercial projects that benefit the people who cannot afford the conventional solutions.

He was also the subcoordinator of the Mobile App Club at his university. He was also the cofounder of two start-ups at his college, which he started with his group of friends. One of these start-ups has developed Android apps for hotels, while the other is currently working on building a better contact manager app for the Android platform.

Nisarg Thakkar is currently studying at BITS Pilani, K. K. Birla Goa campus, where he will be graduating with a degree in engineering (hons.) in computer science in May 2016. He can be reached at nisargtha@gmail.com.

Salil Kapur

Salil Kapur is a Master’s in Computer Science student at New York University. He earned his bachelor’s degree in Computer Science from Birla Institute of Technology and Science, Pilani.

Salil has a passion for programming and is always excited to try out new technologies. He likes to work on problem statements from varies fields like computer vision, systems and machine learning. Salil is an open source enthusiast, with contributions in libraries like SimpleCV, BinPy and Krita.

When not working, he spends most of his time on Quora and Hacker News. He enjoys playing basketball and Ultimate Frisbee. He can be reached out at salilkapur93@gmail.com