Facial expression recognition using 3D facial feature distances

Authors:
Hamit Soyel;Hasan Demirel
Affiliations:
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Turkey;Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Turkey
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

Citing 9
Cited 20

Computer facial animation

Computer facial animation
Automatic Analysis of Facial Expressions: The State of the Art

IEEE Transactions on Pattern Analysis and Machine Intelligence
MPEG-4 Facial Animation: The Standard,Implementation and Applications

MPEG-4 Facial Animation: The Standard,Implementation and Applications
An Approach to Automatic Recognition of Spontaneous Facial Actions

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Facial expression recognition from video sequences: temporal and static modeling

Computer Vision and Image Understanding - Special issue on Face recognition
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A 3D Facial Expression Database For Facial Behavior Research

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Facial action recognition for facial expression analysis from static face images

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA

Pattern Recognition Letters
Real-time 2D+3D facial action and expression recognition

Pattern Recognition
Shape analysis of local facial patches for 3D facial expression recognition

Pattern Recognition
Feature level analysis for 3D facial expression recognition

Neurocomputing
3D Facial expression recognition based on histograms of surface differential quantities

ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Fully automatic 3D facial expression recognition using a region-based approach

J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Application of NSGA-II to feature selection for facial expression recognition

Computers and Electrical Engineering
A remarkable standard for estimating the performance of 3D facial expression features

Neurocomputing
Comparative evaluation of 3D vs. 2D modality for automatic detection of facial action units

Pattern Recognition
On the simultaneous recognition of identity and expression from BU-3DFE datasets

Pattern Recognition Letters
Localized discriminative scale invariant feature transform based facial expression recognition

Computers and Electrical Engineering
Static and dynamic 3D facial expression recognition: A comprehensive survey

Image and Vision Computing
3D human face description: landmarks measures and geometrical features

Image and Vision Computing
3D/4D facial expression analysis: An advanced annotated face model approach

Image and Vision Computing
Recognition of 3D facial expression dynamics

Image and Vision Computing
Regression-based intensity estimation of facial action units

Image and Vision Computing
Person independent 3D facial expression recognition by a selected ensemble of SIFT descriptors

EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Real-time expression recognition from dynamic sequences of 3D facial scans

EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Unconventional approaches for facial animation and tracking

SIGGRAPH Asia 2012 Technical Briefs
A review of motion analysis methods for human Nonverbal Communication Computing

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a novel approach for facial expression analysis and recognition. The proposed approach relies on the distance vectors retrieved from 3D distribution of facial feature points to classify universal facial expressions. Neural network architecture is employed as a classifier to recognize the facial expressions from a distance vector obtained from 3D facial feature locations. Facial expressions such as anger, sadness, surprise, joy, disgust, fear and neutral are successfully recognized with an average recognition rate of 91.3%. The highest recognition rate reaches to 98.3% in the recognition of surprise.