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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

Setting up an OpenCV web application


Since this chapter covers the development of a web application using Java OpenCV, it is important to address a couple of differences when going to the server side. The first thing is to tell the web container, generally Tomcat, Jetty, JBoss, or Websphere, about the location of native libraries. Other details deal with loading the native code. This should happen as soon as the web server goes up and should not occur again.

The advantages of using the web architecture are significant. As certain image-processing tasks are compute intensive, they could easily drain the device's battery in no time, so, taking them to a more robust hardware on the cloud would relieve local processing. Besides that, there's no need for users to install anything more than the web browser, and the updates happening on the server side are also very handy.

On the other hand, there are a few drawbacks. If, instead of hosting the web application on the administrator infrastructure...

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