BoofCV: Open Source Computer Vision & Machine Learning Library
BoofCV is an open source Java library for computer vision and machine learning. It provides implementations of common algorithms and data structures for tasks like image processing, feature detection, tracking, calibration, recognition, and deep learning.
What is BoofCV?
BoofCV is an open source Java library focused on computer vision and machine learning algorithms. It aims to provide high-performance implementations of common vision algorithms to allow quick prototyping and experimentation.
Some of the key features of BoofCV include:
- Image processing utilities like convolution, filtering, morphological operations, histograms, etc.
- Feature detection algorithms like SIFT, SURF, ORB, FREAK, and more for finding interest points
- Calibration algorithms like camera calibration, stereo vision, and lens undistortion
- Geometric vision tools like point cloud generation, transformations, and 3D projections
- Machine learning tools like classifiers, neural networks, clustering, SVMs, and more
- Modules for tasks like image recognition, barcode reading, tracking, background subtraction, and other high level tasks
- BoofCV is written in Java but can be used in any JVM compatible language like Scala, Groovy, Clojure, etc.
- Actively maintained and supported through forums and Github
Overall, BoofCV aims to provide a swiss-army knife of vision and machine learning algorithms to build computer vision applications rapidly.