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ChangeLog
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ChangeLog
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---
10th Jun 2010
libface now supports char* image data, therefore programs can use libface regardless of the imaging API they use.
Finally libface can be considered "ready to use"
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19th May 2010:
Eigenfaces Implementation is finally nicely working. The "temp" file has now been removed from the example.
Face detection now stores the face images in the face object, too!
Therefore, now there's no need for Eigenfaces::update() to extract faces from an image.
A Face vector is enough for update()
The DB size is kept as 50.
An single update() call to update a null database to 150 faces takes 4 seconds on Aditya's *weak* machine.
Therefore, one may assume that retraining a database takes about 1 second.
The example can now take multiple image files as argument.
This makes it possible to pass HUGE Face vectors to update.
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31st Mar 2010:
Clustering in detection works good now. False positives reduced/removed.
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30th Mar 2010:
Haarcascades class has been implemented, finally. Now, as many cascades as required can be used by just adding one more line of code.
In my database, every single face was detected after this approach. To increase the speed, decrease the pixel-area for the "working image".
Image scaling for faster computation is now done in FaceDetect.cpp, and not in a client program. The vector of Face objects contains faces that have their dimensions
set for the original image, so no worries for the end-user.
25th Mar 2010
Compile with -DCMAKE_BUILD_TYPE=Debug for DEBUG mode to work. Made Eigenface pipeline
to work. Needs testing on bigger datasets.
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19th Mar 2010:
Polished some bits and bobs. Fixed a bug and updated general project info.
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17th Mar 2010:
Added an example FaceDetection.cpp for testing detection.
Changed the libface constructor to allow for individual options like DETECT, EIGEN, and FISHER.
Changed the minimum face size for detection to a more permissive value.
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16th Mar 2010:
Added two new files: haarcascades.h and haarcascades.cpp to allow for easy usage of multiple, weighted cascades for better results.
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