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BoofCV is a 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 modern computer vision system. Functionality include highly optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization.

It is divided up into four package, 1) image processing, 2) features, 3) geometric vision, and 4) input output. Image processing contains core functionality which are most commonly used and typically operate directly on pixels. Features contains feature (e.g. points, lines, and regions) extraction algorithms for use in higher level operations. Geometric vision contains routines for processing extracted image features using 2D and 3D geometry. IO stands for input/output and contains common routines for reading in and displaying compute images.

BoofCV is still in an early development phase and is undergoing frequent changes.

Table of Contents

Introduction asdfaf
Examples asfasdf
JavaDoc asdfasdf
Applets List of all example applets
Mailing List Where to post questions about BoofCV

Capability Summary

Image Processing Feature Geometric IO
Image Convolution
Image Derivatives Applet
Interpolation Applet
Image Blur 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 Future
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
Camera Calibration Future
Stereo Vision Future
Robust Fitting
2D/3D Motion Models
Bundle Adjustment Future
Image Stabilization Applet
Image Stitching
Visual Odometry Future
Visualization Tools
Video Codec Interfaces
Image IO Utility

Future Plans

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