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Hough Forests Head Pose Estimation

This repository contains the source code by Gabriele Fanelli, Thibaut Weise, Juergen Gall, BIWI, ETH Zurich, released under the Microsoft Research Shared Source License Agreement http://www.iai.uni-bonn.de/~gall/projects/houghforest/data/MSR-SSLA.txt

The source code was downloaded from http://www.vision.ee.ethz.ch/~gfanelli/head_pose/head_forest.html and is available on the master branch of this repository https://github.com/XunChangqing/head_pose_estimation/tree/master

This develop branch contains some modification made by me, including project files for cmake.

Original copyright notice folows

Author: Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc Email: [email protected]

By installing, copying, or otherwise using this Software, you agree to be bound by the terms of the Microsoft Research Shared Source License Agreement (non-commercial use only). If you do not agree, do not install copy or use the Software. The Software is protected by copyright and other intellectual property laws and is licensed, not sold.

THE SOFTWARE COMES "AS IS", WITH NO WARRANTIES. THIS MEANS NO EXPRESS, IMPLIED OR STATUTORY WARRANTY, INCLUDING WITHOUT LIMITATION, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, ANY WARRANTY AGAINST INTERFERENCE WITH YOUR ENJOYMENT OF THE SOFTWARE OR ANY WARRANTY OF TITLE OR NON-INFRINGEMENT. THERE IS NO WARRANTY THAT THIS SOFTWARE WILL FULFILL ANY OF YOUR PARTICULAR PURPOSES OR NEEDS. ALSO, YOU MUST PASS THIS DISCLAIMER ON WHENEVER YOU DISTRIBUTE THE SOFTWARE OR DERIVATIVE WORKS.

NEITHER MICROSOFT NOR ANY CONTRIBUTOR TO THE SOFTWARE WILL BE LIABLE FOR ANY DAMAGES RELATED TO THE SOFTWARE OR THIS MSR-SSLA, INCLUDING DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL OR INCIDENTAL DAMAGES, TO THE MAXIMUM EXTENT THE LAW PERMITS, NO MATTER WHAT LEGAL THEORY IT IS BASED ON. ALSO, YOU MUST PASS THIS LIMITATION OF LIABILITY ON WHENEVER YOU DISTRIBUTE THE SOFTWARE OR DERIVATIVE WORKS.

If you do use the code, please acknowledge papers:

Random Forests for Real Time 3D Face Analysis

@article{fanelli_IJCV, author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc}, title = {Random Forests for Real Time 3D Face Analysis}, journal = {Int. J. Comput. Vision}, year = {2013}, month = {February}, volume = {101}, number = {3}, pages = {437--458} }

Real Time Head Pose Estimation with Random Regression Forests

@InProceedings{fanelli_CVPR11, author = {Fanelli, Gabriele and Gall, Juergen and Van Gool, Luc}, title = {Real Time Head Pose Estimation with Random Regression Forests}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2011}, month = {June}, pages = {617-624} }

Real Time Head Pose Estimation from Consumer Depth Cameras

@InProceedings{fanelli_DAGM11, author = {Fanelli, Gabriele and Weise, Thibaut and Gall, Juergen and Van Gool, Luc}, title = {Real Time Head Pose Estimation from Consumer Depth Cameras}, booktitle = {33rd Annual Symposium of the German Association for Pattern Recognition (DAGM'11)}, year = {2011}, month = {September} }

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