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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.

Help make BoofCV better! Current Release (change log) Version: v0.24.1 Date: June 13, 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 Image Blur Enhancement Example Noise Removal Example Fourier Transform Example Wavelet Decomposition Discrete Image Pyramid Example Float Image Pyramid Example Scale Space Image Steerable Kernels Equirectangular 0.25 Fisheye Cameras 0.25	Black Polygons Example Black Ellipses 0.25 Interest Points Example Line Detection Example Motion Detection Example Binary Contours Polygon Fitting Example Ellipse Fitting Example Template Matching Example Interest Points Example Point Tracking Example Non-max Suppression Dense Optical Flow Example Superpixels Example Color Segmentation Example	Color Image Lookup Example KNN Classifier Example CNN Classifiers 0.25 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

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