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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 libraries. Functionality 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, it often outperforms even native libraries. Functionality 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 organized into several packages: ''image processing'', ''features'', ''geometric vision'', ''calibration'', ''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. ''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'' stands for input/output and contains common routines for reading in images from various input sources. | ||
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! Current Release ([[BoofCV_Change_Log|change log]]) | ! Current Release ([[BoofCV_Change_Log|change log]]) | ||
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| align="center" |Version: ''Alpha v0. | | align="center" |Version: ''Alpha v0.16'' | ||
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| align="center" |Date: '' | | align="center" |Date: ''December 26, 2013'' | ||
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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]] | ||
Revision as of 15:35, 27 December 2013
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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 libraries. Functionality 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 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. |
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