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The CMU Pose, Illumination, and Expression Database
December 2003 (vol. 25 no. 12)
pp. 1615-1618
ASCII Text
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Terence Sim, Simon Baker, Maan Bsat, "The CMU Pose, Illumination, and Expression Database," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, pp. 1615-1618, December, 2003.
 
 
BibTex
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@article{ 10.1109/TPAMI.2003.1251154,
author = {Terence Sim and Simon Baker and Maan Bsat},
title = {The CMU Pose, Illumination, and Expression Database},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {25},
number = {12},
issn = {0162-8828},
year = {2003},
pages = {1615-1618},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1251154},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - The CMU Pose, Illumination, and Expression Database
IS - 12
SN - 0162-8828
SP1615
EP1618
EPD - 1615-1618
A1 - Terence Sim,
A1 - Simon Baker,
A1 - Maan Bsat,
PY - 2003
KW - Face databases
KW - pose
KW - illumination
KW - expression.
VL - 25
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—In the Fall of 2000, we collected a database of more than 40,000 facial images of 68 people. Using the Carnegie Mellon University 3D Room, we imaged each person across 13 different poses, under 43 different illumination conditions, and with four different expressions. We call this the CMU Pose, Illumination, and Expression (PIE) database. We describe the imaging hardware, the collection procedure, the organization of the images, several possible uses, and how to obtain the database.

[1] 1615 V. Blanz, S. Romdhani, and T. Vetter, Face Identification across Different Poses and Illuminations with a 3D Morphable Model Proc. Fifth IEEE Int'l Conf. Face and Gesture Recognition, 2002.[2] A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, From Few to Many: Generative Models for Recognition under Variable Pose and Illumination Proc. Fourth IEEE Int'l Conf. Automatic Face and Gesture Recognition, 2000.[3] R. Gross, J. Shi, and J. Cohn, Quo Vadis Face Recognition Proc. Third Workshop Empirical Evaluation Methods in Computer Vision, 2001.[4] R. Gross, I. Matthews, and S. Baker, Eigen Light-Fields and Face Recognition across Pose Proc. Fifth IEEE Int'l Conf. Face and Gesture Recognition, 2002.[5] B. Heisele, T. Serre, M. Pontil, and T. Poggio, Component-Based Face Detection Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2001.[6] B. Heisele, T. Serre, M. Pontil, T. Vetter, and T. Poggio, Categorization by Learning and Combining Object Parts Neural Information Processing Systems, 2001.[7] T. Kanade, H. Saito, and S. Vedula, The 3D Room: Digitizing Time-Varying 3D Events by Synchronized Multiple Video Streams Technical Report CMU-RI-TR-98-34, Carnegie Mellon Univ. Robotics Inst., 1998.[8] P.J. Philips, H. Moon, P. Rauss, and S.A. Rizvi, The FERET Evaluation Methodology for Face-Recognition Algorithms Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1997.[9] T. Sim and T. Kanade, Combining Models and Exemplars for Face Recognition: An Illuminating Example Proc. Workshop Models versus Exemplars in Computer Vision, 2001.[10] T. Sim, S. Baker, and M. Bsat, The CMU Pose, Illumination, and Expression (PIE) Database Proc. Fifth IEEE Int'l Conf. Face and Gesture Recognition, 2002.

Index Terms:
Face databases, pose, illumination, expression.
Citation:
Terence Sim, Simon Baker, Maan Bsat, "The CMU Pose, Illumination, and Expression Database," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, pp. 1615-1618, Dec. 2003, doi:10.1109/TPAMI.2003.1251154
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