From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Modeling and Tracking of Pose-Varying Faces in Video
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Video-based face recognition using adaptive hidden markov models
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Computer Vision and Image Understanding
Face mosaicing for pose robust video-based recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Building large scale 3D face database for face analysis
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Face-based multiple instance analysis for smart electronics billboard
Multimedia Tools and Applications
3D model-based face recognition in video
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Our team has collected a face video database named the CMU Face In Action (FIA) database. This database consists of 20-second videos of face data from 180 participants mimicking a passport checking scenario. The data is captured by six synchronized cameras from three different angles, with an 8-mm and 4-mm focal-length for each of these angles. We performed the collection in both a controlled, indoor environment and an open, outdoor environment for each participant. Our data collection was taken in three sessions over a period of ten months. We aimed for a three month separation between sessions for each participant. We expect the database to be useful for analysis and modeling of faces and gestures.