From 3d1048d79ad09d156836ff22edb9909d038fce87 Mon Sep 17 00:00:00 2001
From: Yves Fischer <yvesf-git@xapek.org>
Date: Sat, 21 Mar 2015 23:32:10 +0100
Subject: notifications

---
 cv-head-lock/xml/haarcascade_mcs_nose.xml | 48433 ++++++++++++++++++++++++++++
 1 file changed, 48433 insertions(+)
 create mode 100644 cv-head-lock/xml/haarcascade_mcs_nose.xml

(limited to 'cv-head-lock/xml/haarcascade_mcs_nose.xml')

diff --git a/cv-head-lock/xml/haarcascade_mcs_nose.xml b/cv-head-lock/xml/haarcascade_mcs_nose.xml
new file mode 100644
index 0000000..051c38c
--- /dev/null
+++ b/cv-head-lock/xml/haarcascade_mcs_nose.xml
@@ -0,0 +1,48433 @@
+<?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.</_>
+                <_>
+                  3 10 12 2 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-0.0670417398214340</threshold>
+            <left_val>0.5956599712371826</left_val>
+            <right_val>-0.1645421981811523</right_val></_></_>
+        <_>
+          <!-- tree 5 -->
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+            <!-- 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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+              <tilted>1</tilted></feature>
+            <threshold>0.1449110060930252</threshold>
+            <left_val>-0.1593054980039597</left_val>
+            <right_val>0.5626019239425659</right_val></_></_>
+        <_>
+          <!-- tree 7 -->
+          <_>
+            <!-- root node -->
+            <feature>
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+                <_>
+                  3 0 12 3 -1.</_>
+                <_>
+                  3 1 12 1 3.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>-0.0126969404518604</threshold>
+            <left_val>-0.6924440860748291</left_val>
+            <right_val>0.1042767018079758</right_val></_></_>
+        <_>
+          <!-- tree 8 -->
+          <_>
+            <!-- root node -->
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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 -->
+          <_>
+            <!-- root node -->
+            <feature>
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+                <_>
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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 -->
+          <_>
+            <!-- root node -->
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+              <tilted>0</tilted></feature>
+            <threshold>2.6259789592586458e-005</threshold>
+            <left_val>-0.2522526085376740</left_val>
+            <right_val>0.2770084142684937</right_val></_></_>
+        <_>
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+            <left_val>-0.1598252952098846</left_val>
+            <right_val>0.1796030998229981</right_val></_></_>
+        <_>
+          <!-- tree 12 -->
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+            <!-- root node -->
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+            <left_val>0.4662343859672546</left_val>
+            <right_val>-0.1598974019289017</right_val></_></_>
+        <_>
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+            <threshold>-0.1194007992744446</threshold>
+            <left_val>0.5828961133956909</left_val>
+            <right_val>-0.1248269975185394</right_val></_></_>
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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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+              <tilted>0</tilted></feature>
+            <threshold>-0.1830939948558807</threshold>
+            <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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+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
+                  5 3 6 1 -1.</_>
+                <_>
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+              <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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+            <feature>
+              <rects>
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+                  9 2 6 4 -1.</_>
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+              <tilted>1</tilted></feature>
+            <threshold>0.1116186007857323</threshold>
+            <left_val>-0.1391783952713013</left_val>
+            <right_val>0.4706197082996368</right_val></_></_>
+        <_>
+          <!-- tree 2 -->
+          <_>
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+            <feature>
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+                <_>
+                  9 2 5 3 2.</_></rects>
+              <tilted>1</tilted></feature>
+            <threshold>0.1409423947334290</threshold>
+            <left_val>-0.4590255022048950</left_val>
+            <right_val>0.6874074935913086</right_val></_></_>
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+            <right_val>-0.0452645681798458</right_val></_></_>
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+                <_>
+                  13 0 5 10 -1.</_>
+                <_>
+                  13 5 5 5 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>1.2285460252314806e-003</threshold>
+            <left_val>0.0346601791679859</left_val>
+            <right_val>-0.0940746665000916</right_val></_></_>
+        <_>
+          <!-- tree 376 -->
+          <_>
+            <!-- root node -->
+            <feature>
+              <rects>
+                <_>
+                  1 4 16 4 -1.</_>
+                <_>
+                  1 6 16 2 2.</_></rects>
+              <tilted>0</tilted></feature>
+            <threshold>0.0104913795366883</threshold>
+            <left_val>-0.0389849282801151</left_val>
+            <right_val>0.1268351972103119</right_val></_></_></trees>
+      <stage_threshold>-1.0771520137786865</stage_threshold>
+      <parent>18</parent>
+      <next>-1</next></_></stages></classifier_Nariz_20stages>
+</opencv_storage>
-- 
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