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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

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783283972
Length 174 pages
Edition 1st Edition
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Author (1):
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Daniel Lelis Baggio Daniel Lelis Baggio
Author Profile Icon Daniel Lelis Baggio
Daniel Lelis Baggio
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Table of Contents (9) Chapters Close

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

Summary


In this chapter, we sent our computer vision applications to the server-side world. We started covering the basics of a simple servlet-based web application configuration using Maven, which provided us with a general application structure. We then added OpenCV dependencies to our pom.xml configuration file as used in a standard OpenCV desktop application. We then checked other runtime configurations as we deployed our web server using Maven.

With every webapp configuration aspect solved, we moved on to the development of our mixed reality application that explored the details of image uploading, converting it to an OpenCV Mat object and then writing a response to our clients with a processed image.

It seems that all aspects of creating basic computer vision applications have been covered now. We dealt with setting up OpenCV for Java and then learned how to work with matrices. We then touched on the basics of creating Java Swing desktop applications and worked with image-processing...

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