samie/trollator

Simple example of using OpenCV in a Vaadin application.

Vaadin OpenCV sample application

Simple example of using OpenCV in a Vaadin application.

This application takes a picture using web browsers camera API (available in modern browsers) and runs OpenCV face recognition algorithm (using CascadeClassifier ) for it. If a face is detected a "troll face" is added on top of it.

This application was inspired by the ingenious "Trollator" mobile Android application.

You can find a blog post about installing OpenCV for Java and Maven in my Dzone article.

1. OpenCV Installation for local Maven repository

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OpenCV is a native library with Java bindings so you need to install this to your system.

• libopencv_java300.so installed in you java.library.path (
• opencv-300.jar availble for application

There are good instructions how to build OpenCV with Java bindings for your own platform here: http://docs.opencv.org/doc/tutorials/introduction/desktop_java/java_dev_intro.html

Once you have built the Java library you can install the resulting jar file to your local Maven repository using mvn install:install-file -Dfile=./bin/opencv-300.jar
-DgroupId=org.opencv -DartifactId=opencv -Dversion=3.0.0 -Dpackaging=jar

2. Building this application

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Once OpenCV jar library is available as a local Maven dependency, you can clone and build this application simply using Git and Maven:

 git clone https://github.com/samie/trollator.git
 mvn install

And run the application using the embedded Jetty plugin in http://localhost:8888

 mvn jetty:run