Tuesday, March 26, 2013

Real-Time Computer Vision on Android using BoofCV


In this article, a step by step tutorial will be given for writing a simple computer vision application on Android devices using BoofCV. At the end of the tutorial you will known how to process a video feed, compute the image gradient, visualize the gradient, and display the results. For those of you who don't know, BoofCV is an open source computer vision library written in Java, making it a natural fit for Android devices. Most of this article is actually going to deal with the Android API, which is a bit convoluted when it comes to video streams. Using BoofCV on Android is very easy and requires no modification or native code. It has become even easier to use since BoofCV v0.13 was released, with its improved Android integration package. Before we start, here are some quick links to help familiarize you with BoofCV and its capabilities. I'm assuming that you are already familiar with Android and the basics of Android development.


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This article is related to

</ span>Android, Android Development, Android Resources, Android Samples,Mobile Development Tutorials,Mobile Developments

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