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BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance. Its functionality covers a wide range of subjects including, optimized low-level image processing routines, camera calibration, feature detection/tracking, structure-from-motion, and recognition. BoofCV has been released under an Apache 2.0 license for both academic and commercial use.

BoofCV is organized into several packages: image processing, features, geometric vision, calibration, recognition,visualize, and IO. Image processing contains commonly used image processing functions which operate directly on pixels. Features contains feature extraction algorithms for use in higher level operations. Calibration has routines for determining the camera's intrinsic and extrinsic parameters. Recognition is for recognition and tracking complex visual objects. Geometric vision is composed of routines for processing extracted image features using 2D and 3D geometry. Visualize has routines for rendering and displaying extracted features. IO has input and output routines for different data structures.

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Current Release (change log)
Version: v0.26
Date: December 7, 2016
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Capability Summary

Image Processing Feature Recognition Geometric Integration
Image Convolution Example
Image Derivatives Example
Thresholding Example
Binary Ops Example
Color Space Example
Interpolation Example
Image Blur Example
Enhancement Example
Noise Removal Example
Fourier Transform Example
Wavelet Decomposition
Discrete Image Pyramid Example
Float Image Pyramid Example
Scale Space Image
Equirectangular Example
Fisheye Cameras Example
Black Polygons Example
Black Ellipses Example
Interest Points Example
Line Detection Example
Motion Detection Example
Binary Contours Example
Polygon Fitting Example
Ellipse Fitting Example
Template Matching Example
Interest Points Example
Point Tracking Example
Non-max Suppression Example
Dense Optical Flow Example
Superpixels Example
Color Segmentation Example
Color Image Lookup Example
KNN Classifier Example
CNN Classifiers Example
Object Tracking Example
Fiducials Tutorial
Camera Calibration Tutorial
Mono Calibration Example
Stereo Calibration Example
Remove Distortion Example
3D Stereo Cloud Example
Monocular Stereo Example
Video Stabilization Example
Video Mosaic Example
Visual Odom: Stereo Example
Visual Odom: Mono Plane Example
Visual Odom: RGB-D Example
Visualization
Android
Video
Kinect
Processing
Python