****************************************************************************** * 3D Head Pose Estimation using AAM and POSIT ****************************************************************************** * by Daniel Lélis Baggio, 29th Dec 2012 * http://code.google.com/p/ehci/ ****************************************************************************** * Ch7 of the book "Mastering OpenCV with Practical Computer Vision Projects" * Copyright Packt Publishing 2012. * http://www.packtpub.com/cool-projects-with-opencv/book ****************************************************************************** ---------------------------------------------------------- Building the project using CMake from the command-line: ---------------------------------------------------------- Linux: export OpenCV_DIR="~/OpenCV/build" mkdir build cd build cmake -D OpenCV_DIR=$OpenCV_DIR .. make MacOSX (Xcode): export OpenCV_DIR="~/OpenCV/build" mkdir build cd build cmake -G Xcode -D OpenCV_DIR=$OpenCV_DIR .. open HeadOrientation.xcodeproj Windows (MS Visual Studio): set OpenCV_DIR="C:\OpenCV\build" mkdir build cd build cmake -G "Visual Studio 9 2008" -D OpenCV_DIR=%OpenCV_DIR% .. start HeadOrientation.sln ---------------------------------------------------------- Running the project: ---------------------------------------------------------- Simply run the HeadOrientation executable. This should load a simple-aam as well as some example images so the reader can become familiar with eigenvalues used in the image PCA. Sliding the bars will instance a new AAM which will be displayed on top of the training images. Hitting 'c' will close the application. The keys '1', '2', and '3' will change the displayed training image.