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+<?xml version="1.0"?>
+<!--
+ 18x12 Left eye (in the image) detector computed with 7000 positive samples
+
+//////////////////////////////////////////////////////////////////////////
+| 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) 2006, Modesto Castrillon-Santana (IUSIANI, University of
+| Las Palmas de Gran Canaria, Spain).
+| 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. Back to
+| Top
+//////////////////////////////////////////////////////////////////////////
+
+RESEARCH USE:
+If you are using any of the detectors or involved ideas please cite one of these papers:
+
+@ARTICLE{Castrillon07-jvci,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Tejera, M. and Guerra Artal, C.",
+ title = "ENCARA2: Real-time Detection of Multiple Faces at Different Resolutions in Video Streams",
+ journal = "Journal of Visual Communication and Image Representation",
+ year = "2007",
+ vol = "18",
+ issue = "2",
+ month = "April",
+ pages = "130-140"
+}
+
+@INPROCEEDINGS{Castrillon07-swb,
+ author = "Castrill\'on Santana, M. and D\'eniz Su\'arez, O. and Hern\'andez Sosa, D. and Lorenzo Navarro, J. ",
+ title = "Using Incremental Principal Component Analysis to Learn a Gender Classifier Automatically",
+ booktitle = "1st Spanish Workshop on Biometrics",
+ year = "2007",
+ month = "June",
+ address = "Girona, Spain",
+ file = F
+}
+
+A comparison of this and other face related classifiers can be found in:
+
+@InProceedings{Castrillon08a-visapp,
+ 'athor = "Modesto Castrill\'on-Santana and O. D\'eniz-Su\'arez, L. Ant\'on-Canal\'{\i}s and J. Lorenzo-Navarro",
+ title = "Face and Facial Feature Detection Evaluation"
+ booktitle = "Third International Conference on Computer Vision Theory and Applications, VISAPP08"
+ year = "2008",
+ month = "January"
+}
+
+More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto_eng.html or in the papers.
+
+COMMERCIAL USE:
+If you have any commercial interest in this work please contact
+mcastrillon@iusiani.ulpgc.es
+-->
+<opencv_storage>
+<ojoI type_id="opencv-haar-classifier">
+ <size>
+ 18 12</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
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+ <!-- tree 0 -->
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+ <tilted>0</tilted></feature>
+ <threshold>-0.2298166006803513</threshold>
+ <left_val>0.7448793053627014</left_val>
+ <right_val>-0.6734349727630615</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <!-- root node -->
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+ <left_val>-0.6007816195487976</left_val>
+ <right_val>0.4448564946651459</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
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+ <tilted>1</tilted></feature>
+ <threshold>-0.0609385594725609</threshold>
+ <left_val>0.5612637996673584</left_val>
+ <right_val>-0.3199233114719391</right_val></_></_>
+ <_>
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+ <left_val>-0.3604696094989777</left_val>
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+ <left_val>0.4616630077362061</left_val>
+ <right_val>-0.2083043009042740</right_val></_></_>
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+ <left_val>0.0637709423899651</left_val>
+ <right_val>-0.5207654833793640</right_val></_></_>
+ <_>
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