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frontal_face.xml
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<?xml version="1.0"?>
<!--
//////////////////////////////////////////////////////////////////////////
| Contributors License Agreement
| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
| By downloading, copying, installing or using the software you agree
| to this license. If you do not agree to this license, do not download,
| install, copy or use the software.
|
| 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.
|
| Redistribution and use in source and binary forms, with or without
| modification, are permitted provided that the following conditions are
| met:
|
| * Redistributions of source code must retain the above copyright
| notice, this list of conditions and the following disclaimer.
| * Redistributions in binary form must reproduce the above
| copyright notice, this list of conditions and the following
| disclaimer in the documentation and/or other materials provided
| with the distribution.
| * The name of Contributor may not used to endorse or promote products
| derived from this software without specific prior written permission.
|
| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//////////////////////////////////////////////////////////////////////////
=====================================================================
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
-->
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