opencv/data/lbpcascades/lbpcascade_frontalface_improved.xml

1470 lines
53 KiB
XML

<?xml version="1.0"?>
<!--
//////////////////////////////////////////////////////////////////////////
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|
| Copyright (c) 2017, Puttemans Steven, Can Ergun and Toon Goedeme
| (KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5,
| Sint-Katelijne-Waver, Belgium).
| All rights reserved.
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//////////////////////////////////////////////////////////////////////////
=====================================================================
Improving Open Source Face Detection by Combining an Adapted Cascade
Classification Pipeline and Active Learning
=====================================================================
by Puttemans Steven, Can Ergun and Toon Goedeme (KU Leuven, EAVISE, Belgium)
This model is the best performing IterativeHardPositives+ frontal face detection model
used in the research paper presented at VISAPP2017, Porto, Portugal.
RESEARCHERS:
If you are using the improved face detection model or involved ideas please cite
this paper (available at http://eavise.be/publications_lirias.php):
@InProceedings{PuttemansVISAPP2017,
author = "Puttemans Steven, Can Ergun and Toon Goedeme",
title = "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning"
booktitle = "12th International Conference on Computer Vision Theory and Applications"
year = "2017",
month = "February"
}
COMMERCIAL:
If you have any commercial interest in this work please contact
steven.puttemans@kuleuven.be or toon.goedeme@kuleuven.be
-->
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