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OpenCV Computer Vision with Java

You're reading from OpenCV Computer Vision with Java Create multiplatform computer vision desktop and web applications using the combination of OpenCV and Java

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781783283972

Length 174 pages

Edition 1st Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Author (1):

Daniel Lelis Baggio

View More author details

Table of Contents (9) Chapters

Preface

1. Setting Up OpenCV for Java FREE CHAPTER

2. Handling Matrices, Files, Cameras, and GUIs

3. Image Filters and Morphological Operators

4. Image Transforms

5. Object Detection Using Ada Boost and Haar Cascades

6. Detecting Foreground and Background Regions and Depth with a Kinect Device

7. OpenCV on the Server Side

Index

Chapter 1. Setting Up OpenCV for Java

I'm sure you want to start developing astonishing computer vision applications. You must have heard of a nice C/C++ computer vision library called OpenCV to help you do so. But in case you would like to develop the applications using your knowledge of Java programming, we have good news for you. Since the release of OpenCV 2.4.4 in January 2013, Java bindings have been officially developed. So you can use them not only for desktop Java, but also for Scala development.

This chapter will set you up for OpenCV development right away. As Java developers are mostly used to working with tools such as Eclipse, NetBeans, Apache Ant, and Maven, we will cover the details of creating a simple OpenCV application using the environment that the Java developers are more used to.

In this chapter, we will do the following:

Get OpenCV with desktop Java support
Discuss Java Native Interface (JNI) details
Configure Eclipse and NetBeans for OpenCV
Create Apache Ant and Maven OpenCV projects

By the end of this chapter, the user should have an OpenCV for Java installation running on his OS which can easily be linked to Eclipse, NetBeans, Apache Ant, or Maven, the most used tools and building systems for Java.

You have been reading a chapter from

OpenCV Computer Vision with Java

Published in: Jul 2015

Publisher:

ISBN-13: 9781783283972

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Authors (1)

Baggio

Baggio

Daniel Lélis Baggio has started his works in computer vision through medical image processing at InCor (Instituto do Coração – Heart Institute) in São Paulo, Brazil, where he worked with intra-vascular ultrasound (IVUS) image segmentation. After that he has focused on GPGPU and ported that algorithm to work with NVidia's Cuda. He has also dived into 6 degrees of freedom head tracking with Natural User Interface group through a project called EHCI (http://code.google.com/p/ehci/ ). He also wrote “Mastering OpenCV with Practical Computer Vision Projects” from Packt Publishing.

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