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authorYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
committerYves Fischer <yvesf-git@xapek.org>2015-03-21 23:32:10 +0100
commit3d1048d79ad09d156836ff22edb9909d038fce87 (patch)
treedd9cd035f3e3537e2404208bf101be6bdbdfa865 /cv-head-lock/xml/haarcascade_mcs_nose.xml
parentfdd4c6267e683ec107f3df43f02140f0ac01d63f (diff)
downloadscripts-3d1048d79ad09d156836ff22edb9909d038fce87.tar.gz
scripts-3d1048d79ad09d156836ff22edb9909d038fce87.zip
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+<?xml version="1.0"?>
+<!--
+ 18x15 Nose 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) 2008, 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>
+<classifier_Nariz_20stages type_id="opencv-haar-classifier">
+ <size>
+ 18 15</size>
+ <stages>
+ <_>
+ <!-- stage 0 -->
+ <trees>
+ <_>
+ <!-- tree 0 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 4 4 4 -1.</_>
+ <_>
+ 8 4 4 2 2.</_></rects>
+ <tilted>1</tilted></feature>
+ <threshold>0.0363217890262604</threshold>
+ <left_val>-0.6772649884223938</left_val>
+ <right_val>0.6687346100807190</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 3 0 12 7 -1.</_>
+ <_>
+ 6 0 6 7 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0544859282672405</threshold>
+ <left_val>-0.4403176903724670</left_val>
+ <right_val>0.4891850948333740</right_val></_></_>
+ <_>
+ <!-- tree 2 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 3 5 12 9 -1.</_>
+ <_>
+ 3 8 12 3 3.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.1508972942829132</threshold>
+ <left_val>0.6370239257812500</left_val>
+ <right_val>-0.2814675867557526</right_val></_></_>
+ <_>
+ <!-- tree 3 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 6 0 6 8 -1.</_>
+ <_>
+ 6 0 3 8 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>-0.0794939175248146</threshold>
+ <left_val>0.6347042918205261</left_val>
+ <right_val>-0.1611918956041336</right_val></_></_>
+ <_>
+ <!-- tree 4 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 3 8 12 4 -1.</_>
+ <_>
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+ <tilted>0</tilted></feature>
+ <threshold>-0.0670417398214340</threshold>
+ <left_val>0.5956599712371826</left_val>
+ <right_val>-0.1645421981811523</right_val></_></_>
+ <_>
+ <!-- tree 5 -->
+ <_>
+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 10 1 3 8 -1.</_>
+ <_>
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+ <tilted>1</tilted></feature>
+ <threshold>0.1654247045516968</threshold>
+ <left_val>-0.0291650108993053</left_val>
+ <right_val>0.2784962058067322</right_val></_></_>
+ <_>
+ <!-- tree 6 -->
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+ <feature>
+ <rects>
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+ <tilted>1</tilted></feature>
+ <threshold>0.1449110060930252</threshold>
+ <left_val>-0.1593054980039597</left_val>
+ <right_val>0.5626019239425659</right_val></_></_>
+ <_>
+ <!-- tree 7 -->
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+ <feature>
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+ <tilted>0</tilted></feature>
+ <threshold>-0.0126969404518604</threshold>
+ <left_val>-0.6924440860748291</left_val>
+ <right_val>0.1042767018079758</right_val></_></_>
+ <_>
+ <!-- tree 8 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
+ 8 0 2 3 -1.</_>
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+ <tilted>0</tilted></feature>
+ <threshold>5.2858339622616768e-003</threshold>
+ <left_val>0.0736001133918762</left_val>
+ <right_val>-0.8135973811149597</right_val></_></_>
+ <_>
+ <!-- tree 9 -->
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+ <feature>
+ <rects>
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+ <tilted>0</tilted></feature>
+ <threshold>0.1319603025913239</threshold>
+ <left_val>-0.0852369293570518</left_val>
+ <right_val>0.6464285850524902</right_val></_></_>
+ <_>
+ <!-- tree 10 -->
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+ <!-- root node -->
+ <feature>
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+ <left_val>-0.2522526085376740</left_val>
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+ <_>
+ <!-- tree 11 -->
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+ <left_val>-0.1598252952098846</left_val>
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+ <_>
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+ <_>
+ <!-- tree 13 -->
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+ <tilted>0</tilted></feature>
+ <threshold>-0.1194007992744446</threshold>
+ <left_val>0.5828961133956909</left_val>
+ <right_val>-0.1248269975185394</right_val></_></_>
+ <_>
+ <!-- tree 14 -->
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+ <threshold>-0.4961996078491211</threshold>
+ <left_val>0.7593098878860474</left_val>
+ <right_val>-0.0939436629414558</right_val></_></_>
+ <_>
+ <!-- tree 15 -->
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+ <feature>
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+ <left_val>0.5817549228668213</left_val>
+ <right_val>-0.0883935913443565</right_val></_></_></trees>
+ <stage_threshold>-1.8310650587081909</stage_threshold>
+ <parent>-1</parent>
+ <next>-1</next></_>
+ <_>
+ <!-- stage 1 -->
+ <trees>
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+ <!-- tree 0 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <_>
+ 8 3 3 1 2.</_></rects>
+ <tilted>0</tilted></feature>
+ <threshold>0.0485280007123947</threshold>
+ <left_val>1.5333959890995175e-004</left_val>
+ <right_val>-2.6736979980468750e+003</right_val></_></_>
+ <_>
+ <!-- tree 1 -->
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+ <!-- root node -->
+ <feature>
+ <rects>
+ <_>
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+ <_>
+ <!-- tree 2 -->
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+ <!-- root node -->
+ <feature>
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+ <left_val>-0.4590255022048950</left_val>
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+ <_>
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+ <left_val>0.2594836950302124</left_val>
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+ <left_val>-0.3745568990707398</left_val>
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