87 lines
2.6 KiB
ReStructuredText
87 lines
2.6 KiB
ReStructuredText
Changelog
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=========
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Release 0.05
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------------
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This library is now included in the official OpenCV distribution (from 2.4 on).
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The cv::FaceRecognizer is now a cv::Algorithm, which better fits into the overall
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OpenCV API.
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To reduce the confusion on user side and minimize my work, libfacerec and OpenCV
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have been synchronized and are now based on the same interfaces and implementation.
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The library now has an extensive documentation:
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* The API is explained in detail and with a lot of code examples.
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* The face recognition guide I had written for Python and GNU Octave/MATLAB has been adapted to the new OpenCV C++ ``cv::FaceRecognizer``.
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* A tutorial for gender classification with Fisherfaces.
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* A tutorial for face recognition in videos (e.g. webcam).
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Release highlights
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++++++++++++++++++
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- There are no single highlights to pick from, this release is a highlight itself.
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Release 0.04
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------------
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This version is fully Windows-compatible and works with OpenCV 2.3.1. Several
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bugfixes, but none influenced the recognition rate.
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Release highlights
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++++++++++++++++++
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- A whole lot of exceptions with meaningful error messages.
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- A tutorial for Windows users: `http://bytefish.de/blog/opencv_visual_studio_and_libfacerec <http://bytefish.de/blog/opencv_visual_studio_and_libfacerec>`_
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Release 0.03
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------------
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Reworked the library to provide separate implementations in cpp files, because
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it's the preferred way of contributing OpenCV libraries. This means the library
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is not header-only anymore. Slight API changes were done, please see the
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documentation for details.
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Release highlights
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++++++++++++++++++
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- New Unit Tests (for LBP Histograms) make the library more robust.
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- Added more documentation.
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Release 0.02
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------------
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Reworked the library to provide separate implementations in cpp files, because
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it's the preferred way of contributing OpenCV libraries. This means the library
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is not header-only anymore. Slight API changes were done, please see the
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documentation for details.
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Release highlights
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++++++++++++++++++
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- New Unit Tests (for LBP Histograms) make the library more robust.
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- Added a documentation and changelog in reStructuredText.
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Release 0.01
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------------
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Initial release as header-only library.
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Release highlights
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++++++++++++++++++
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- Colormaps for OpenCV to enhance the visualization.
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- Face Recognition algorithms implemented:
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- Eigenfaces [TP91]_
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- Fisherfaces [BHK97]_
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- Local Binary Patterns Histograms [AHP04]_
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- Added persistence facilities to store the models with a common API.
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- Unit Tests (using `gtest <http://code.google.com/p/googletest/>`_).
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- Providing a CMakeLists.txt to enable easy cross-platform building.
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