Manifold analysis of facial gestures for face recognition

Authors:
Douglas Fidaleo;Mohan Trivedi
Affiliations:
University of California, San Diego, La Jolla, California;University of California, San Diego, La Jolla, California
Venue:
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Year:
2003

Citing 8
Cited 5

N-Ocular stereo for real-time human tracking

Panoramic vision
Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Visual Speech: A Physiological or Behavioural Biometric?

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
CoArt: Co-articulation Region Analysis for Control of 2D Characters

CA '02 Proceedings of the Computer Animation
Interpreting Face Images Using Active Appearance Models

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Streaming Face Recognition Using Multicamera Video Arrays

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Video arrays for real-time tracking of person, head, and face in an intelligent room

Machine Vision and Applications - Special issue: Omnidirectional vision and its applications
G-folds: an appearance-based model of facial gestures for performance driven facial animation

G-folds: an appearance-based model of facial gestures for performance driven facial animation

Gait analysis for human identification through manifold learning and HMM

Pattern Recognition
Emotional intensity-based facial expression cloning for low polygonal applications

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Salient feature and reliable classifier selection for facial expression classification

Pattern Recognition
Assessing the uniqueness and permanence of facial actions for use in biometric applications

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Appearance manifold of facial expression

ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

The particulars of facial gestures are frequently used to qualitatively define and characterize faces. It is not merely the skin motion induced by such gestures, but the appearance of the skin changes that provides this information. For gestures and their appearance to be utilized as a biometric, it is critical that a robust model be established. For this purpose we are exploring gesture manifolds.This paper describes work underway toward evaluation of the manifold representation of facial gestures both as a biometric, and as a means to extract biometric information. Details of the current acquisition system are discussed with the motivating principles behind the device. Preliminary observations are presented to motivate manifold analysis followed by an exposition of the experiments underway that will be used to validate the model.