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Mastering OpenCV Android Application Programming, by Salil Kapur, Nisarg Thakkar
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Master the art of implementing computer vision algorithms on Android platforms to build robust and efficient applications
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
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.
- Sales Rank: #289941 in Books
- Published on: 2015-08-03
- Released on: 2015-07-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .49" w x 7.50" l, .84 pounds
- Binding: Paperback
- 215 pages
About the Author
Salil Kapur
Salil Kapur is a software engineer at Microsoft. He earned his bachelor's degree in computer science from Birla Institute of Technology and Science, Pilani. He has a passion for programming and is always excited to try out new technologies. His interests lie in computer vision, networks, and developing scalable systems. He is an open source enthusiast and has contributed to libraries such as SimpleCV, BinPy, and Krita. When he is not working, he spends most of his time on Quora and Hacker News. He loves to play basketball and ultimate frisbee. He can be reached at salilkapur93@gmail.com.
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
A very useful and deep source of knowledge regarding OpenCV application to develop mobile apps.
By Carles
This book is aimed to both mobile app developers who want to improve the graphic functionality to a new level (3d gaming, augmented reality, etc) or to opengl desktop developers who want to extent his projects/products to mobile platforms. Both would benefit from all the know-how inside this book, that goes deep into not only the OpenCV framework fundamentals but also into some math required for creating powerful 2d/3d code and behaviours. A warn for beginners, you should know at least some C/C++ basic coding and some algebra (arrays, matrix and so) to not get lost while reading this book. Otherwise the book is a very useful and deep source of knowledge regarding OpenCV application to develop mobile apps.
0 of 1 people found the following review helpful.
This book is suitable for people who have at least basic knowledge in Android, OpenCV and Computer Vision
By Gabriel Humpire Mamani
I had a chance to read "Mastering OpenCV Android Application Programming" recently on a request of Packt Publishing. I hope to help readers with this review. Let's go, I got my copy from Packt Publishing, where additional formats to download it are available. In my case, I preferred it in Kindle Edition, also they provide me the source code for each chapter to a better understanding of each topic.
This book is suitable for people who have at least basic knowledge in Android, OpenCV and Computer Vision, if you are new in Android maybe you should have to learn it before reading this book. Let's begin with the main review. The first chapters are about OpenCV basic concepts (brightness, contrast, color space, arithmetic and geometrical transforms) and how to set OpenCV in your Android project step by step. For every topic, they show the code, explanation and results.
Until chapter 5, the content was about main OpenCV functions with Android interactions, but here on-wards the interesting and useful projects are explained such as Image alignment and stitching with notable improvements. Moreover, a Machine Learning chapter explains how to use its potential for Android apps. A nice chapter explains the best practices for Android projects as well for debugging using logcat logs. Finally, an entire chapter dedicated for an Optical Character Recognition is detailed.
Afterwards, I found this book very useful and recommendable. Overall, this is a must-read book for Android programmers, and Computer Vision specialists.
0 of 1 people found the following review helpful.
A must-read book
By Andr�
This book is recommended for those who wants to delve into the image processing techniques in the context of mobile applications. The book also provides a valuable examples and guide you step by step over the contents.
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