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| <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> | | <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">[https://youtu.be/RCL5tSt189M 2021-Mar: Stereo Cloud from Mars Perseverance Rover]</SPAN> | | <SPAN STYLE="font-size: 12pt">[https://youtu.be/RCL5tSt189M 2021-Mar: Stereo Cloud from Mars Perseverance Rover]</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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! align="center" | Current Release: '' | ! align="center" | Current Release: ''v1.1.5'' | ||
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! align="center" | Date: '' | ! align="center" | Date: ''June 27, 2024'' | ||
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| align="center" | [https://github.com/lessthanoptimal/BoofCV/blob/ | | align="center" | [https://github.com/lessthanoptimal/BoofCV/blob/v1.1.4/change.txt Change Log] | ||
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| align="center" | [https://youtu.be/BbTPQ9mIoQU Video Summary v0.38] | | align="center" | [https://youtu.be/BbTPQ9mIoQU Video Summary v0.38] |
Revision as of 09:35, 27 June 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 |
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A start up from the creators of BoofCV. |
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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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