AAMLibrary-2.5
所属分类：图形图象
开发工具：Visual C++
文件大小：22526KB
下载次数：743
上传日期：2009-07-16 04:23:57
上 传 者：
screeam
说明： An active appearance model (AAM) is a computer vision algorithm for matching a statistical model of object shape and appearance to a new image. They are built during a training phase. A set of images together with coordinates of landmarks, that appear in all of the images is provided by the training supervisor.
文件列表:
AAMLibrary-2.5\aamfitting.gif (389750, 2008-05-25)
AAMLibrary-2.5\aamfitting2\aamfitting2.vcproj (4411, 2008-09-09)
AAMLibrary-2.5\aamfitting2\aamfitting2.vcproj.BERTOK-PC.Bertók Kornél.user (1421, 2008-10-26)
AAMLibrary-2.5\aamfitting2\aamtest.cpp (2462, 2008-10-17)
AAMLibrary-2.5\aamfitting2\fit2.h (0, 2008-09-09)
AAMLibrary-2.5\bin\aambuilding.exe (276480, 2008-10-17)
AAMLibrary-2.5\bin\AAMLibrary.lib (9173954, 2008-10-17)
AAMLibrary-2.5\bin\aamtest.bat (83, 2008-09-29)
AAMLibrary-2.5\bin\aamtest.exe (233472, 2008-10-17)
AAMLibrary-2.5\bin\aamtest.pdb (1936384, 2008-10-17)
AAMLibrary-2.5\bin\haarcascade_frontalface_alt2.xml (837462, 2008-01-16)
AAMLibrary-2.5\bin\Modes\A00.jpg (4767, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A001.jpg (5726, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A002.jpg (6079, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A003.jpg (6604, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A004.jpg (5903, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A005.jpg (6503, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A006.jpg (6677, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A007.jpg (6896, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A008.jpg (6094, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A009.jpg (6190, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A010.jpg (6843, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A011.jpg (6462, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A012.jpg (7043, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A013.jpg (6795, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A014.jpg (6783, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A015.jpg (6671, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A016.jpg (6425, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A017.jpg (6759, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A018.jpg (7056, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A019.jpg (7259, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A020.jpg (6879, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A021.jpg (6859, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A022.jpg (6545, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A023.jpg (7161, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A024.jpg (6992, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A025.jpg (6694, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A026.jpg (6654, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A027.jpg (7277, 2008-08-28)
AAMLibrary-2.5\bin\Modes\A028.jpg (6913, 2008-08-28)
... ...
/****************************************************************************
* ============================ AAMLibrary ================================= *
* Copyright (c) 2008 by Yao Wei, all rights reserved.
*
* Author: Yao Wei
* Contact: njustyw@gmail.com
*
* This software is partly based on the following open source:
*
* - OpenCV
*
****************************************************************************/
===================
System Requirements
===================
AAMLibrary makes use of the OpenCV library version 1.0 that can be downloaded form:
http://sourceforge.net/projects/opencv
AAMLibrary is written to be platform independent. It has been tested on Windows XP. In order to make it work, you must modify a bug and rebuild it:
-- cvBoundingRect() doesn't work fine.
-- opencv/cv/src/cvshapedescr.cpp around line 1161
-- replace CV_32SC1 to CV_32SC2 and CV_32FC1 to CV_32FC2.
================
A Quick Tutorial
================
To get farmiliarised quickly with the library, execute the following steps:
1. Train the Cootes's basic active appearance models:
> AAMBuilding 0 face_dir jpg pts model1
2. Train the Matthews and S. Baker's Inverse Compositional models:
> AAMBuilding 1 face_dir jpg pts model2
3. Test fitting/Alignment:
> AAMFitting model test.jpg
====================
For more details, you can do to the directory "example" to see some demos.
===================
===================
Questions?
===================
For further questions or bug reporting, please email me at:
njustyw@gmail.com
Enjoy!
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