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48434 lines
1.5 MiB
48434 lines
1.5 MiB
<?xml version="1.0"?>
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<!--
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18x15 Nose detector computed with 7000 positive samples
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//////////////////////////////////////////////////////////////////////////
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| Contributors License Agreement
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| IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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| By downloading, copying, installing or using the software you agree
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| to this license.
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| If you do not agree to this license, do not download, install,
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| copy or use the software.
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|
|
|
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| Copyright (c) 2008, Modesto Castrillon-Santana (IUSIANI, University of
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| Las Palmas de Gran Canaria, Spain).
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| All rights reserved.
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|
|
|
| Redistribution and use in source and binary forms, with or without
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| modification, are permitted provided that the following conditions are
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| met:
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|
|
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| * Redistributions of source code must retain the above copyright
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| notice, this list of conditions and the following disclaimer.
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| * Redistributions in binary form must reproduce the above
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| copyright notice, this list of conditions and the following
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| disclaimer in the documentation and/or other materials provided
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| with the distribution.
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|
| * The name of Contributor may not used to endorse or promote products
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| derived from this software without specific prior written permission.
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|
|
|
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| THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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| "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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| LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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| A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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| CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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| EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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| PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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| PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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| LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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| NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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| SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Back to
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| Top
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|
//////////////////////////////////////////////////////////////////////////
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|
RESEARCH USE:
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If you are using any of the detectors or involved ideas please cite one of these papers:
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@ARTICLE{Castrillon07-jvci,
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author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
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title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
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journal = "Journal of Visual Communication and Image Representation",
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year = "2007",
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vol = "18",
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issue = "2",
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month = "April",
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pages = "130-140"
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}
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@INPROCEEDINGS{Castrillon07-swb,
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author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
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title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
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booktitle = "1st Spanish Workshop on Biometrics",
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year = "2007",
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month = "June",
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address = "Girona, Spain",
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file = F
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}
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A comparison of this and other face related classifiers can be found in:
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@InProceedings{Castrillon08a-visapp,
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'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
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title = "Face and Facial Feature Detection Evaluation"
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booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
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year = "2008",
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month = "January"
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}
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More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
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COMMERCIAL USE:
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If you have any commercial interest in this work please contact
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mcastrillon@iusiani.ulpgc.es
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-->
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<opencv_storage>
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<classifier_Nariz_20stages type_id="opencv-haar-classifier">
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