Emotion Recognition Using a Cauchy Naive Bayes Classifier

Authors:
Nicu Sebe;Michael S. Lew;Ira Cohen;Ashutosh Garg;Thomas S. Huang
Affiliations:
-;-;-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

Citing 0
Cited 18

Semi-supervised learning for facial expression recognition

MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Face and body gesture recognition for a vision-based multimodal analyzer

VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Task oriented facial behavior recognition with selective sensing

Computer Vision and Image Understanding
Content-based multimedia information retrieval: State of the art and challenges

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Toward multimodal fusion of affective cues

Proceedings of the 1st ACM international workshop on Human-centered multimedia
On the impact of fusion strategies on classification errors for large ensembles of classifiers

Pattern Recognition
Anxiety-based affective communication for implicit human-machine interaction

Advanced Engineering Informatics
Real-time classification of evoked emotions using facial feature tracking and physiological responses

International Journal of Human-Computer Studies
Fuzzy Naive Bayesian Classification in RoboSoccer 3D: A Hybrid Approach to Decision Making

RoboCup 2006: Robot Soccer World Cup X
Recognizing Facial Expressions Using Model-Based Image Interpretation

Multimodal Signals: Cognitive and Algorithmic Issues
Task oriented facial behavior recognition with selective sensing

Computer Vision and Image Understanding
Facial expression recognition for human-robot interaction: a prototype

RobVis'08 Proceedings of the 2nd international conference on Robot vision
Towards multimodal emotion recognition: a new approach

Proceedings of the ACM International Conference on Image and Video Retrieval
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning

Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Task specific factors for video characterization

ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Lip pattern in the interpretation of human emotions

International Journal of Artificial Intelligence and Soft Computing
A multimodal approach for online estimation of subtle facial expression

PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper we propose a method for recognizing emotions through facial expressions displayed in video sequences. We introduce the Cauchy Naive Bayes classifier which uses the Cauchy distribution as the model distribution and we provide a framework for choosing the best model distribution assumption. Our person-dependent andperson-independent experiments show that the Cauchy distribution assumption typically provides better results than the Gaussian distribution assumption.