Multi-feature fusion in advanced robotics applications

Authors:
Zahid Riaz;Christoph Mayer;Michael Beetz;Bernd Radig;M. Saquib Sarfraz
Affiliations:
Technische Universität München, Garching, Germany;Technische Universität München, Garching, Germany;Technische Universität München, Garching, Germany;Technische Universität München, Garching, Germany;COMSATS Institute of Information Technology, Lahore, Pakistan
Venue:
Proceedings of the 7th International Conference on Frontiers of Information Technology
Year:
2009

Citing 11
Cited 0

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Comprehensive Database for Facial Expression Analysis

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Real time facial expression recognition in video using support vector machines

Proceedings of the 5th international conference on Multimodal interfaces
Handbook of Face Recognition

Handbook of Face Recognition
Face Processing: Advanced Modeling and Methods

Face Processing: Advanced Modeling and Methods
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Real-time combined 2D+3D active appearance models

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a feature extraction technique from human face image sequences using model based approach. We study two different models with our proposed approach towards multifeature extraction. These features are efficiently used for human face information extraction for different applications. The approach follows in fitting a model to face image using robust objective function and extracting textural and temporal features for three major applications naming 1) face recognition, 2) facial expressions recognition and 3) gender classification. For experimentation and comparative study of our multi-features over two models, we use same set of features with two different classifiers generating promising results to explain that extracted features are strong enough to be used for face image analysis. Features goodness has been investigated on Cohn Kanade Facial Expressions Database (CKFED). The proposed multi-features approach is automatic and real time.