Welcome to BoofCV! BoofCV is an open source Java computer vision library intended for developers. The following manual provides an introduction to development with BoofCV. It is assumed that the reader is familiar with development in the Java programming language and the basics of computer vision. This manual primarily takes the form of example code and tutorials.
Before you can do anything with BoofCV you will need to download it. The download page provides instructions on how to download pre-compiled jars, source code, add a Maven dependency, and checkout the latest source code. After you obtain the jar files browse through the examples below to get ideas on how you can use BoofCV.
If you are compiling BoofCV from source code Ant and Maven scripts are provided. You can also build it inside your favorite IDE, but will need to configure it yourself.
Ant and Maven build instructions:
- Download or checkout source code.
- To run either script from the command-line, switch to the boofcv/main directory.
- Then type "ant" or "mvn package"
- Copy the compiled jar file to an appropriate location
- Location Ant: boofcv/lib/BoofCV.jar.
- Location Maven: boofcv/main/target/boofcv-XX.jar
Ant build scripts are also provided in boofcv/integration and boofcv/examples.
Support is provided in the form of the documentation on this website and through its message board. See the left navigation board for a link to the message board. Please read through the documentation and FAQ (see below) first before posting a question there. You are much more likely to get a good response if you demonstrate due diligence.
If you find any mistakes in the documentation or library itself please submit a bug report or post a message about it! If you don't let us know about it we can't fix it.
Did you find BoofCV useful and use it on your project/work/research/thesis? Well let others know about it through your blog, twitter, or status message! Academics, please cite BoofCV in your papers and checkout the papers page to see if the specific algorithm you are using is mentioned there.
Examples and Tutorial
A few tutorials and examples are provided to provide the basic concepts of development with BoofCV. Data files used in these examples are stored in a separate GIT repository from the main code. See boofcv/examples/readme.txt or https://github.com/lessthanoptimal/BoofCV-Data
- Quick Start
- Images in BoofCV
- Videos and Webcams
- Android Support
- Camera Calibration
- 3D Computer Vision
- Kinect RGB-D Sensor
List of simple examples which demonstrate a single capability of BoofCV.
More complex examples which combine different aspects of BoofCV together or demonstrate how to perform a specific task beyound the built in capabilities of BoofCV
- Image Stitching
- Demonstrates how to extract features from an image, robustly fit a model to the features, and then combine multiple images together.
- Color Segmentation
- Demosntrates how an image can be segmented using color information.