Difference between revisions of "Main Page"

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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, it often outperforms even native librariesFunctionality includes optimized low-level image processing routines, feature tracking, and geometric computer vision.  BoofCV has been released under an Apache license for both academic and commercial use.
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'' stands for input/output and contains common routines for reading in images from various input sources.
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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ATTENTION: Applets are signed, but expired.  Signing isn't cheap.  Does anyone care if the applets are removed?
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WEBPAGE IS BEING UPDATED FOR v0.19!  Sorry for any confusion this will cause.
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<SPAN STYLE="font-size: 24pt">[[Bounties|Bounties<br>Available $2475 Awarded $550]]</SPAN>
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| [[File:Loose-lips.jpg|125px|link=https://groups.google.com/group/boofcv]] ||
| [[File:Loose-lips.jpg|125px|link=https://groups.google.com/group/boofcv]] ||
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<SPAN STYLE="font-size: 16pt">[[Contributing|Help make BoofCV better!]]</SPAN>
<SPAN STYLE="font-size: 16pt">[https://youtu.be/TGg-xgTyaU8 Video Update Summary]</SPAN>
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! Current Release ([[BoofCV_Change_Log|change log]])
! Current Release ([https://github.com/lessthanoptimal/BoofCV/blob/v0.29/change.txt change log])
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| align="center" |Version: ''Alpha v0.18''
| align="center" |Version: ''v0.29''
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| align="center" |Date: ''September 22, 2014''  
| align="center" |Date: ''March 18, 2018''  
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| [[File:Boofcv_bug_propaganda_poster_small.jpg|125px|link=https://github.com/lessthanoptimal/BoofCV/issues]]
| [[File:Boofcv_bug_propaganda_poster_small.jpg|125px|link=https://github.com/lessthanoptimal/BoofCV/issues]]
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| [[File:Main-page-help-icon.png|100px|link=[[Manual]]]]
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| [[File:Main-page-binary-icon.png|100px|link=[https://github.com/lessthanoptimal/BoofCV Source Code]]]
| [[File:Main-page-binary-icon.png|100px|link=[https://github.com/lessthanoptimal/BoofCV Source Code]]]
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| [[Download:BoofCV|Download]]
| [[Download|Download]]
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| [https://www.youtube.com/user/BoofCV/videos Videos]
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| [[FAQ | FAQ]]
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| [[List of Applets | Applets]]
| [[Bounties| Bounties ]]
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| [http://www.youtube.com/user/BoofCV/feed Videos]
| [[Contributing|Contribute]]
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| [[FAQ | FAQ]]
| [https://github.com/lessthanoptimal/BoofCPP BoofCPP]
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<center>
{| style="width:720pt;" border="1"
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== Capability Summary ==
== Capability Summary ==
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| Image Convolution || [[Example_Convolution|Example]]
| Image Convolution || [[Example_Convolution|Example]]
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| Image Derivatives || [[Applet Gradient|Applet]]
| Image Derivatives || [[Example_Image_Derivative|Example]]
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| Color Space || [[Applet_Color_Space|Applet]]
| Thresholding || [[Example_Thresholding|Example]]
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| Interpolation || [[Applet Interpolation|Applet]]
| Binary Ops || [[Example_Binary_Image|Example]]
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| Color Space || [[Example_Color_Space|Example]]
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| Image Blur || [[Applet Image Blur|Applet]]
| Interpolation || [[Example_Interpolation|Example]]
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| Enhancement || [[Applet_Image_Enhance|Applet]]
| Image Deformation || [[Example_Key_Point_Based_Deformation|Example]]
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| Binary Image || [[Applet Binary Segmentation|Applet]]
| Image Blur || [[Example_Image_Blur|Example]]
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| Noise Removal || [[Applet Denoise|Applet]]
| Enhancement || [[Example_Image_Enhancement|Example]]
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| Fourier Transform || [[Applet_Fourier_Transform|Applet]]
| Noise Removal || [[Example_Wavelet_Noise_Removal|Example]]
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| Wavelet Decomposition || [[Applet Wavelet Transform|Applet]]
| Fourier Transform || [[Example_Discrete_Fourier_Transform|Example]]
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| Wavelet Decomposition ||
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| Discrete Image Pyramid || [[Applet Pyramid Discrete|Applet]]
| Discrete Image Pyramid || [[Example_Image_Pyramid|Example]]
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| Float Image Pyramid || [[Applet Pyramid Float|Applet]]
| Float Image Pyramid || [[Example_Image_Pyramid|Example]]
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| Scale Space Image || [[Applet Scale Space|Applet]]
| Scale Space Image ||  
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| Steerable Kernels || [[Applet Kernel Gaussian Steerable|Applet]]
| Equirectangular || [[Example_Equirectangular_To_Pinhole|Example]]
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| Fisheye Cameras || [[Example_Fisheye_To_Pinhole|Example]]
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| Black Polygons || [[Example_Detect_Black_Polygons|Example]]
| Black Polygons || [[Example_Detect_Black_Polygons|Example]]
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| Interest Points || [[Applet Point Detected|Applet]]
| Black Ellipses || [[Example_Detect_Black_Ellipses|Example]]
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| Line Detection || [[Applet Line Detected|Applet]]
| Interest Points || [[Example_Detect_Interest_Points|Example]]
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| Line Detection || [[Example_Detect_Lines|Example]]
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| Motion Detection || [[Example_Background_Moving_Camera|Example]]
| Motion Detection || [[Example_Background_Moving_Camera|Example]]
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| Shape Fitting || [[Applet_Shape_Fitting|Applet]]
| Binary Contours || [[Example_Binary_Image|Example]]
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| Template Matching || [[Example_Template_Matching|Example]]
| Polygon Fitting || [[Example_Fit_Polygon|Example]]
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| Scale Space Features || [[Applet Scale Space Point|Applet]]
| Ellipse Fitting || [[Example_Fit_Ellipse|Example]]
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| Edge Detection || [[Applet Contour|Applet]]
| Template Matching || [[Example_Template_Matching|Example]]
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| Region Descriptions || [[Applet Description Region|Applet]]
| Interest Points || [[Example_Detect_Describe_Interface|Example]]
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| Region Orientation || [[Applet Orientation Point|Applet]]
| Dense Features || [[Example_Dense_Image_Features|Example]]
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| Feature Association || [[Applet Associate Points|Applet]]
| Point Tracking || [[Example_Track_Point_Features|Example]]
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| Feature Tracking || [[Applet Feature Tracking|Applet]]
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| Non-max Suppression || [[Applet Feature Extraction|Applet]]
| Non-max Suppression || [[Example_Non_Maximum_Suppression|Example]]
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| Dense Optical Flow || [[Applet_Dense_Optical_Flow|Applet]]
| Dense Optical Flow || [[Example_Dense_Optical_Flow|Example]]
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| Superpixels || [[Applet_Image_Segmentation|Applet]]
| Superpixels || [[Example_Superpixels|Example]]
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| Color Segmentation || [[Example_Color_Segmentation|Example]]
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| Color Image Lookup || [[Example_Color_Histogram_Lookup|Example]]
| Color Image Lookup || [[Example_Color_Histogram_Lookup|Example]]
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| Scene Classification || [[Example_Scene_Classification|Example]]
| KNN Classifier || [[Example_Scene_Classification|Example]]
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| CNN Classifiers || [[Example_Image_Classification|Example]]
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| Object Tracking || [[Example_Tracker_Object|Example]]
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| Object Tracking || [[Applet_Object_Tracking|Applet]]
| Fiducials || [[Tutorial_Fiducials|Tutorial]]
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| Fiducials || [[Applet_Fiducials|Applet]]
| QR Codes || [[Tutorial_QRCodes|Tutorial]]
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{|
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| Mono Calibration
| Camera Calibration || [[Tutorial_Camera_Calibration|Tutorial]]
| [[Applet_Calibrate_Planar_Mono|Applet]]
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| Mono Calibration || [[Example_Calibrate_Planar_Mono|Example]]
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| Stereo Calibration
| Stereo Calibration || [[Example_Calibrate_Planar_Stereo|Example]]
| [[Applet_Calibrate_Planar_Stereo|Applet]]
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| Stereo Rectification
| Remove Distortion || [[Example_Remove_Lens_Distortion|Example]]
| [[Applet_Rectification_Calibrated|Applet]]
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| Remove Distortion
| 3D Stereo Cloud || [[Example_Stereo_Disparity_3D|Example]]
| [[Applet_Remove_Lens_Distortion|Applet]]
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| 3D Stereo Cloud
| Monocular Stereo || [[Example_Stereo_Single_Camera|Example]]
| [[Applet_Stereo_Disparity|Applet]]
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| Image Stabilization
| Video Stabilization || [[Example_Video_Stabilization|Example]]
| [[Applet Video Stabilization|Applet]]
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| Image Mosaic
| Video Mosaic || [[Example_Video_Mosaic|Example]]
| [[Applet_Video_Mosaic|Applet]]
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| Visual Odom: Stereo
| Visual Odom: Stereo || [[Example_Stereo_Visual_Odometry|Example]]
| [[Applet_Stereo_Visual_Odometry|Applet]]
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| Visual Odom: Mono Plane
| Visual Odom: Mono Plane || [[Example_Visual_Odometry_Monocular_Plane|Example]]
| [[Applet_Visual_Odometry_Monocular_Plane|Applet]]
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| Visual Odom: RGB-D
| Visual Odom: RGB-D || [[Example_Visual_Odometry_Depth|Example]]
| [[Applet_Visual_Odometry_Depth|Applet]]
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| [[Tutorial Processing|Processing]]
| [[Tutorial Processing|Processing]]
|-
| [https://github.com/lessthanoptimal/PyBoof Python]
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</center>
</center>

Revision as of 21:11, 18 March 2018


Boofcv logo circles frontpage.jpg

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.

Bounties
Available $2475 Awarded $550

Loose-lips.jpg

Video Update Summary

Current Release (change log)
Version: v0.29
Date: March 18, 2018
Boofcv bug propaganda poster small.jpg
Main-page-help-icon.png
Manual
JavaDoc
Report Bug
Message Board
Papers/Reports
Main-page-binary-icon.png
Download
Videos
FAQ
Bounties
Contribute
BoofCPP
Main-page-graph-icon.png
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 Example
Image Deformation 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
Dense Features 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
QR Codes 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