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[[File:Boofcv_logo_circles_frontpage.jpg]] | |||
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BoofCV is | BoofCV is an open source library written from scratch for real-time computer vision. Its functionality covers a range of subjects, low-level image processing, camera calibration, feature detection/tracking, structure-from-motion, fiducial detection, 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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< | {| | ||
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| {{#ev:youtube|https://youtu.be/wgPzlokxbXw|300|center}} | |||
| {{#ev:youtube|https://youtu.be/O_yAdsT8d84|300|center}} | |||
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! New calibration tools in v0.39 | |||
! Three View Self Calibration | |||
|} | |||
{| | |||
|- | |||
| <SPAN STYLE="font-size: 12pt">[https://www.ninox360.com/calibration-targets 2022-Nov: Create calibration targets in your browser]</SPAN> | |||
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| <SPAN STYLE="font-size: 12pt">[https://www.ninox360.com/barcode-scanner 2022-Nov: Barcode scanner webapp]</SPAN> | |||
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| <SPAN STYLE="font-size: 12pt">[https://medium.com/p/35b431fcccf1 2022-Jan: Article on scanning Micro QR Codes]</SPAN> | |||
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| <SPAN STYLE="font-size: 12pt">[[Tutorial_Camera_Calibration|2021-Oct: Camera Calibration Tutorial has been re-written.]]</SPAN> | |||
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| <SPAN STYLE="font-size: 12pt">[https://youtu.be/RCL5tSt189M 2021-Mar: Stereo Cloud from Mars Perseverance Rover]</SPAN> | |||
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|} | |} | ||
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| | | [[File:Loose-lips.jpg|125px|link=https://groups.google.com/group/boofcv]] || | ||
{| | {| width="400pt" | ||
|- | ! align="center" | Current Release: ''v1.1.4'' | ||
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! align="center" | Date: ''May 14, 2024'' | |||
|- | |||
| align="center" | [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.4/change.txt Change Log] | |||
|- | |||
| align="center" | [https://youtu.be/BbTPQ9mIoQU Video Summary v0.38] | |||
|} | |} | ||
| | | [[File:Boofcv_bug_propaganda_poster_small.jpg|125px|link=https://github.com/lessthanoptimal/BoofCV/issues]] | ||
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|} | |} | ||
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|- | ! align="center" | [[File:Ninox360_icon_logo_moto.png|400px|link=https://www.ninox360.com]] | ||
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| align="center" | A start up from the creators of BoofCV. | |||
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|} | |} | ||
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== | |- valign="top" | ||
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{| class="wikitable" style="width:200px; color:black; background-color:white; font-size:140%; text-align:center;" | |||
| [[File:Main-page-help-icon.png|100px|link=[[Manual]]]] | |||
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| [[Manual]] | |||
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| [[FAQ | FAQ]] | |||
|- | |||
| [http://www.boofcv.org/javadoc/ JavaDoc] | |||
|- | |||
| [https://github.com/lessthanoptimal/BoofCV/issues Report Bug] | |||
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| [https://groups.google.com/group/boofcv Message Board] | |||
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| [[Papers and Reports| Papers/Reports]] | |||
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{| class="wikitable" style="width:200px; color:black; background-color:white; font-size:140%; text-align:center;" | |||
| [[File:Main-page-binary-icon.png|100px|link=[https://github.com/lessthanoptimal/BoofCV Source Code]]] | |||
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| [[Download|Download]] | |||
|- | |- | ||
| | | [https://www.youtube.com/user/BoofCV/videos Videos] | ||
|- | |- | ||
| | | [[Applications]] | ||
|- | |- | ||
| | | [[Bounties| Bounties ]] | ||
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|- | |- | ||
| [[ | | [[Contributing|Contribute]] | ||
|- | |- | ||
| | | [https://github.com/lessthanoptimal/BoofCPP BoofCPP] | ||
| | |} | ||
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{| class="wikitable" style="width:200px; color:black; background-color:white; font-size:140%; text-align:center;" | |||
| [[File:Main-page-graph-icon.png|100px|link=[[Performance:BoofCV]]]] | |||
|- | |- | ||
| | | [[Performance:BoofCV|Performance]] | ||
|- | |||
| [[BoofCV Roadmap | Road Map]] | |||
|- | |||
| [[Validation:Algorithms | Validation]] | |||
|- | |||
| [[Projects_Using_BoofCV | Users ]] | |||
|- | |||
| [[Acknowledgements|Acknowledgements]] | |||
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|} | |} | ||
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<SPAN STYLE="font-size: 14pt;text-align:center">Prebuild Stand Alone Applications</SPAN> | |||
{| class="wikitable" style="width:720pt;" | |||
|- | |||
| [[Applications#Examples_and_Demonstrations|Examples / Demonstrations]] || Example and demonstration applications | |||
|- | |||
| [[Applications#Create QR Code|QR Code Generator]] || Create and print QR Codes | |||
|- | |||
| [[Applications#Create_Square_Binary|Square Fiducials]] || Binary/Image Square Fiducial Generator | |||
|- | |||
| [[Applications#Create_Calibration_Fiducials|Calibration Targets]] || Calibration Target Generator | |||
|- | |||
| [[Applications#Camera_Calibration|Calibration]] || Camera Calibration Application | |||
|- | |||
| [[Applications#Batch_Undistort|Lens Undistortion]] || Batch Removal of Lens Distortion | |||
|- | |||
| [[Applications#Batch_Downsize|Image Downsize]] || Batch Image Down Sampling with minimal aliasing | |||
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{| class="wikitable" style="width:720pt;" | |||
| colspan=5 style="background-color:#ffffdd;" align="center" | | |||
== Capability Summary == | == Capability Summary == | ||
|- | |- | ||
! style="background:#ffdead;" | Image Processing | ! style="background:#ffdead;" | Image Processing | ||
! style="background:#ffdead;" | Feature | ! style="background:#ffdead;" | Feature | ||
! style="background:#ffdead;" | Recognition | |||
! style="background:#ffdead;" | Geometric | ! style="background:#ffdead;" | Geometric | ||
! style="background:#ffdead;" | | ! style="background:#ffdead;" | Integration | ||
|- | |- | ||
| | | | ||
{| | {| | ||
|- | |- | ||
| Image Convolution | | Image Convolution || [[Example_Convolution|Example]] | ||
|- | |||
| Image Derivatives || [[Example_Image_Derivative|Example]] | |||
|- | |||
| Thresholding || [[Example_Thresholding|Example]] | |||
|- | |||
| Binary Ops || [[Example_Binary_Image|Example]] | |||
|- | |- | ||
| | | Color Space || [[Example_Color_Space|Example]] | ||
| [[ | |||
|- | |- | ||
| Interpolation | | Interpolation || [[Example_Interpolation|Example]] | ||
| [[ | |||
|- | |- | ||
| Image | | Image Deformation || [[Example_Key_Point_Based_Deformation|Example]] | ||
| [[ | |||
|- | |- | ||
| Image | | Image Blur || [[Example_Image_Blur|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Enhancement || [[Example_Image_Enhancement|Example]] | ||
| [[ | |- | ||
| Noise Removal || [[Example_Wavelet_Noise_Removal|Example]] | |||
|- | |||
| Fourier Transform || [[Example_Discrete_Fourier_Transform|Example]] | |||
|- | |||
| Wavelet Decomposition || | |||
|- | |- | ||
| Discrete Image Pyramid | | Discrete Image Pyramid || [[Example_Image_Pyramid|Example]] | ||
| [[ | |||
|- | |- | ||
| Float Image Pyramid | | Float Image Pyramid || [[Example_Image_Pyramid|Example]] | ||
| [[ | |||
|- | |- | ||
| Scale Space Image | | Scale Space Image || | ||
| | |||
|- | |- | ||
| | | Equirectangular || [[Example_Equirectangular_To_Pinhole|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Fisheye Cameras || [[Example_Fisheye_To_Pinhole|Example]] | ||
| [[ | | | ||
|} | |} | ||
| | | | ||
{| | {| | ||
|- | |- | ||
| | | Black Polygons || [[Example_Detect_Black_Polygons|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Black Ellipses || [[Example_Detect_Black_Ellipses|Example]] | ||
| | |||
|- | |- | ||
| Interest Points | | Interest Points || [[Example_Detect_Interest_Points|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Line Detection || [[Example_Detect_Lines|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Motion Detection || [[Example_Background_Moving_Camera|Example]] | ||
| [[ | |- | ||
| Binary Contours || [[Example_Binary_Image|Example]] | |||
|- | |||
| Polygon Fitting || [[Example_Fit_Polygon|Example]] | |||
|- | |||
| Ellipse Fitting || [[Example_Fit_Ellipse|Example]] | |||
|- | |||
| Template Matching || [[Example_Template_Matching|Example]] | |||
|- | |- | ||
| | | Interest Points || [[Example_Detect_Describe_Interface|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Dense Features || [[Example_Dense_Image_Features|Example]] | ||
| [[ | |- | ||
| Point Tracking || [[Example_Track_Point_Features|Example]] | |||
|- | |||
| Non-max Suppression || [[Example_Non_Maximum_Suppression|Example]] | |||
|- | |||
| Dense Optical Flow || [[Example_Dense_Optical_Flow|Example]] | |||
|- | |- | ||
| | | Superpixels || [[Example_Superpixels|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Color Segmentation || [[Example_Color_Segmentation|Example]] | ||
| [[ | |} | ||
|- | | | ||
| | {| | ||
|- | |||
| Scene Recognition || [[Example_Scene_Recognition|Example]] | |||
|- | |||
| Color Image Lookup || [[Example_Color_Histogram_Lookup|Example]] | |||
|- | |||
| KNN Classifier || [[Example_Scene_Classification|Example]] | |||
|- | |- | ||
| CNN Classifiers || [[Example_Image_Classification|Example]] | |||
|- | |||
| Object Tracking || [[Example_Tracker_Object|Example]] | |||
|- | |||
| Fiducials || [[Tutorial_Fiducials|Tutorial]] | |||
|- | |||
| QR Codes || [[Tutorial_QRCodes|Tutorial]] | |||
|} | |} | ||
| | | | ||
{| | {| | ||
|- | |||
| SFM || [[Tutorial_Geometric_Vision|Tutorial]] | |||
|- | |- | ||
| Camera Calibration | | Camera Calibration || [[Tutorial_Camera_Calibration|Tutorial]] | ||
| | |- | ||
| Mono Calibration || [[Example_Calibrate_Planar_Mono|Example]] | |||
|- | |||
| Fisheye Calibration || [[Example_Calibrate_Planar_Fisheye|Example]] | |||
|- | |||
| Stereo Calibration || [[Example_Calibrate_Planar_Stereo|Example]] | |||
|- | |||
| Remove Distortion || [[Example_Remove_Lens_Distortion|Example]] | |||
|- | |||
| Equi to Pinhole || [[Example_Equirectangular_To_Pinhole|Example]] | |||
|- | |||
| Fisheye to Equi|| [[Example_Fisheye_To_Equirectangular|Example]] | |||
|- | |||
| Bundle Adjustment || [[Example Sparse Bundle Adjustment|Example]] | |||
|- | |||
| 3D Stereo Cloud || [[Example_Stereo_Disparity_3D|Example]] | |||
|- | |||
| Monocular Stereo || [[Example_Stereo_Single_Camera|Example]] | |||
|- | |||
| Uncalibrated Stereo || [[Example_Three_View_Stereo_Uncalibrated|Example]] | |||
|- | |- | ||
| Stereo | | Multi Baseline Stereo || [[Example_Multi_Baseline_Stereo|Example]] | ||
| | |||
|- | |- | ||
| | | Scene Reconstruction || [[Example_Multiview_Reconstruction_Dense|Example]] | ||
|- | |- | ||
| | | Video Stabilization || [[Example_Video_Stabilization|Example]] | ||
|- | |- | ||
| | | Video Mosaic || [[Example_Video_Mosaic|Example]] | ||
| | |||
|- | |- | ||
| | | Visual Odom: Stereo || [[Example_Stereo_Visual_Odometry|Example]] | ||
| [[ | |||
|- | |- | ||
| | | Visual Odom: Mono Plane || [[Example_Visual_Odometry_Monocular_Plane|Example]] | ||
|- | |- | ||
| Visual | | Visual Odom: RGB-D || [[Example_Visual_Odometry_Depth|Example]] | ||
| | |||
|} | |} | ||
| | | | ||
{| | {| | ||
| Visualization | | Visualization | ||
|- | |- | ||
| | | [[Android_support|Android]] | ||
|- | |- | ||
| | | [[Tutorial Videos and Webcams|Video]] | ||
|- | |||
| [[Tutorial Kinect|Kinect]] | |||
|- | |||
| [[Tutorial Processing|Processing]] | |||
|- | |||
| [https://github.com/lessthanoptimal/PyBoof Python] | |||
|} | |} | ||
|} | |} | ||
</center> | |||
Revision as of 07:39, 14 May 2024
BoofCV is an open source library written from scratch for real-time computer vision. Its functionality covers a range of subjects, low-level image processing, camera calibration, feature detection/tracking, structure-from-motion, fiducial detection, 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. |
New calibration tools in v0.39 | Three View Self Calibration |
---|
|
A start up from the creators of BoofCV. |
|
|
|
Prebuild Stand Alone Applications
Examples / Demonstrations | Example and demonstration applications |
QR Code Generator | Create and print QR Codes |
Square Fiducials | Binary/Image Square Fiducial Generator |
Calibration Targets | Calibration Target Generator |
Calibration | Camera Calibration Application |
Lens Undistortion | Batch Removal of Lens Distortion |
Image Downsize | Batch Image Down Sampling with minimal aliasing |
Capability Summary | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Image Processing | Feature | Recognition | Geometric | Integration | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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