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9323 lines
306 KiB
XML
9323 lines
306 KiB
XML
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<?xml version="1.0"?>
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|
<!----------------------------------------------------------------------------
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|
12x20 Left ear (in the image) detector computed with 5000 positive and 15000
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negative samples
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//////////////////////////////////////////////////////////////////////////
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|
| Contributors License Agreement
|
|||
|
| 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.
|
|||
|
| 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) 2011, Modesto Castrillon-Santana (IUSIANI, Universidad de
|
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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
|
|||
|
| 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
|
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|
//////////////////////////////////////////////////////////////////////////
|
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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 this paper:
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|
|
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|
@INPROCEEDINGS{Castrillon11-caepia,
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|
author = "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
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|
title = "An Study on Ear Detection and its Applications to Face Detection",
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|
booktitle = "Conferencia de la Asociaci<63>n Espa<70>ola para la Inteligencia Artificial (CAEPIA)",
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|
year = "2011",
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|
month = "November",
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|
address = "La Laguna, Spain",
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|
file = F
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|
}
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|
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|
More information can be found at http://mozart.dis.ulpgc.es/Gias/modesto.html or in the paper.
|
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|
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|
COMMERCIAL USE:
|
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|
If you have any commercial interest in this work please contact
|
|||
|
mcastrillon@iusiani.ulpgc.es
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|
------------------------------------------------------------------------>
|
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|
|
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|
<opencv_storage>
|
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|
<classifier_LeftEarA_trainNew2011_12_20 type_id="opencv-haar-classifier">
|
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|
<size>
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|
12 20</size>
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<threshold>1.2798480689525604e-001</threshold>
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<left_val>-7.1108317375183105e-001</left_val>
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0 2 4 8 2.</_>
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0 0 4 2 -1.</_>
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0 0 2 1 2.</_>
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7 6 4 6 2.</_>
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4 6 8 12 -1.</_>
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8 6 4 6 2.</_>
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0 5 10 14 -1.</_>
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0 5 5 7 2.</_>
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7 9 1 1 3.</_></rects>
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9 8 1 3 3.</_></rects>
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0 14 5 2 2.</_></rects>
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6 17 2 1 2.</_></rects>
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8 13 1 1 2.</_></rects>
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0 17 1 1 2.</_></rects>
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8 13 1 1 2.</_></rects>
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2 12 1 1 2.</_>
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8 13 2 3 -1.</_>
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7 14 2 1 3.</_></rects>
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5 14 1 2 3.</_></rects>
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10 10 1 2 2.</_>
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1 10 1 2 2.</_>
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7 16 2 2 -1.</_>
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7 16 2 1 2.</_></rects>
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8 10 3 3 -1.</_>
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5 0 1 3 3.</_></rects>
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5 11 4 3 2.</_></rects>
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7 15 2 2 -1.</_>
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<_>
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11 0 1 1 2.</_></rects>
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0 7 12 7 2.</_></rects>
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0 19 6 1 2.</_></rects>
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0 18 2 1 3.</_></rects>
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10 11 1 3 2.</_></rects>
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0 8 1 3 2.</_>
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1 11 1 3 2.</_></rects>
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10 18 2 1 3.</_></rects>
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0 8 5 5 2.</_>
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7 6 1 1 3.</_></rects>
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5 14 2 3 2.</_></rects>
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8 4 3 4 -1.</_>
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6 4 3 4 -1.</_>
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8 4 3 4 -1.</_>
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4 4 4 3 -1.</_>
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0 10 4 1 3.</_></rects>
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6 1 2 1 2.</_></rects>
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8 9 2 4 2.</_></rects>
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10 11 1 1 2.</_>
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1 11 1 1 2.</_>
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2 12 1 1 2.</_></rects>
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9 12 1 3 -1.</_>
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6 12 4 2 -1.</_>
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8 12 1 1 2.</_>
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11 6 1 6 2.</_></rects>
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<_>
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6 7 4 4 2.</_></rects>
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<_>
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7 11 3 1 3.</_></rects>
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5 0 1 2 3.</_></rects>
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4 15 1 1 2.</_></rects>
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0 13 6 7 2.</_></rects>
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0 0 2 1 -1.</_>
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1 0 1 1 2.</_></rects>
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<_>
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10 1 2 2 -1.</_>
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11 1 1 1 2.</_>
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10 2 1 1 2.</_></rects>
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<_>
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0 1 2 2 -1.</_>
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0 1 1 1 2.</_>
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1 2 1 1 2.</_></rects>
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<_>
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11 1 1 1 2.</_>
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10 2 1 1 2.</_></rects>
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0 1 1 1 2.</_>
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1 2 1 1 2.</_></rects>
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10 5 1 3 -1.</_>
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10 6 1 1 3.</_></rects>
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1 5 1 3 -1.</_>
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1 6 1 1 3.</_></rects>
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6 0 2 3 -1.</_>
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6 1 2 1 3.</_></rects>
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4 2 8 1 -1.</_>
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8 8 4 3 -1.</_>
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8 9 4 1 3.</_></rects>
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3 2 2 1 2.</_>
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<next>-1</next></_></stages></classifier_LeftEarA_trainNew2011_12_20>
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