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Revision as of 10:49, 7 October 2011


BoofCV

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, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under a BSD license for both academic and commercial use.

BoofCV is organized into four package, image processing, features, geometric vision, 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. Geometric vision is composed of routines for processing extracted image features using 2D and 3D geometry. IO stands for input/output and contains common routines for reading in images and displaying extracted information.

BoofCV is still in an early development phase and is undergoing frequent changes.
Click here for ways you can contribute!

Manual
JavaDoc
Download
Source Code
Report Bug
Message Board
Applets

Capability Summary

Image Processing Feature Geometric IO
Image Convolution
Image Derivatives Applet
Interpolation Applet
Image Blur Applet
Binary Image Applet
Image Denoising Applet
Wavelet Decomposition Applet
Discrete Image Pyramid Applet
Float Image Pyramid Applet
Scale Space Image Applet
Steerable Kernels Applet
Image Distort Applet
Corner Detection Applet
Line Detection Applet
Interest Points Applet
Scale Space Features Applet
Edge Detection Applet
Region Descriptions Applet
Region Orientation Applet
Feature Association Applet
Feature Tracking Applet
Non-max Suppression Applet
Camera Calibration soon
Stereo Vision soon
Robust Fitting
2D/3D Motion Models
Bundle Adjustment soon
Image Stabilization Applet
Image Stitching
Visual Odometry soon
Visualization Tools
Video Codec Interfaces
Image IO Utility

Future Plans

  • Face Detection
  • Face Learning
  • People Tracking
  • Moving Object Tracking
  • Sparse Bundle Adjustment