Free Book OpenCV Android Programming By Example

OpenCV Android Programming By Example

Free Book OpenCV Android Programming By Example
Free Book OpenCV Android Programming By Example


Describe:

Develop smart, vision-based Android apps with the powerful OpenCV library

About This Book This is the latest book on OpenCV Android programming on the market right now. There is no direct competition for our title, based on an increasingly popular technology, and this has been proven through activity in forums related to this topic, and this book uniquely covers applications such as panoramic view and automatic image among other things. For

If you are an Android developer and want to know how to implement vision-conscious applications with OpenCV, then this book is definitely for you.


It will be very helpful to understand the basics of image processing and computer vision, but no prior experience is required

What you will learn to identify and install all the necessary elements to start building Android vision-aware applicationsExplore image representation and color and gray metrics Learn about wrapping and filtering operations and their application and filtering to deal with loud data Use various forms analysis techniques to extract points of interest and identify them in the image Understanding and understanding the object Detecting the operation of the original computer vision algorithms and getting On performance enhancements in detail

Starting with the basics of computer vision and OpenCV, we'll take you all the way to building exciting applications. You will discover that although computer vision is a difficult subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them for performance enhancements. Next we will discuss and use several image processing algorithms such as graph equation, filters, and color space conversion. You will then learn about image gradients and how they are used in many shape analysis techniques such as Edge Detection, Hof Line Shift, and Hof Circle Shift. In addition to using shape analysis to find objects in images, you will learn how to describe objects in images more powerfully using various feature detection and description devices.

At the end of this book, you'll be able to make smart decisions with the popular Adaboost learning algorithm.

Method and approach

An easy-to-follow tutorial full of practical examples. Each topic is explained and contextualized, and the book provides full details of the concepts used to achieve added efficiency.

About this book

This is the latest OpenCV Android programming book on the market now. There is no direct competition for our title.

Based on an increasingly popular technique, it has proven effective in forums related to this topic.

This book uniquely covers apps like Panoramic Viewer, Automatic Selfie and others.

For whom is this book

If you are an Android developer and want to know how to implement vision-conscious applications with OpenCV, then this book is definitely for you.

It would be very helpful to understand the basics of image processing and computer vision, but no prior experience is required.

What will you learn

Identify and install all necessary elements to start building vision-aware Android applications.

Explore image representation, scale and gray

Learn about filtering and filtering processes and their application to deal with annoying data.

Use the techniques of analyzing different shapes to extract and identify points of interest in the image.

Understand and implement object detection, run original computer vision algorithms, and get performance improvements.

In detail

Starting with the basics of computer vision and OpenCV, we'll take you all the way to building exciting applications.

You will discover that although computer vision is a difficult subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you.

Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to improve performance.

Next, we will discuss and use many image processing algorithms such as graph equation, filters, and color space transformation.

 You will then learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hof line shifting, and Hof circle conversion. In addition to using shape analysis to find objects in pictures, you will learn how to describe objects in more powerful images using detectors and various feature features.

At the end of this book, you'll be able to make smart decisions with the popular Adaboost learning algorithm.

Method and approach

An easy-to-follow tutorial full of practical examples. Each topic is explained and contextualized, and the book provides full details of the concepts used to achieve added efficiency.