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Revision as of 13:57, 27 November 2016


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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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Help make BoofCV better!

Current Release (change log)
Version: v0.24.1
Date: June 13, 2016
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Manual
JavaDoc
Report Bug
Message Board
Papers/Reports
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Download
Applets
Videos
FAQ
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Performance
Road Map
Validation
Users
Acknowledgements

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