76 lines
2.6 KiB
Markdown
76 lines
2.6 KiB
Markdown
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Face module changelog {#face_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). The
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cv::FaceRecognizer is now an Algorithm, which better fits into the overall OpenCV API.
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To reduce the confusion on user side and minimize my work, libfacerec and OpenCV have been
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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
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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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- 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 bugfixes, but none
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influenced the recognition rate.
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### Release highlights
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- A whole lot of exceptions with meaningful error messages.
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- A tutorial for Windows users:
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[<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 it's the preferred
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way of contributing OpenCV libraries. This means the library is not header-only anymore. Slight API
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changes were done, please see the documentation for details.
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### Release highlights
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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 it's the preferred
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way of contributing OpenCV libraries. This means the library is not header-only anymore. Slight API
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changes were done, please see the documentation for details.
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### Release highlights
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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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- Colormaps for OpenCV to enhance the visualization.
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- Face Recognition algorithms implemented:
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- Eigenfaces @cite TP91
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- Fisherfaces @cite BHK97
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- Local Binary Patterns Histograms @cite 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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