A Fast and Accurate Face Detector for Indexation of Face Images

Authors:
Raphael Feraud;Olivier Bernier;Jean Emmanuel Viallet;Michel Collobert
Affiliations:
-;-;-;-
Venue:
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Year:
2000

Citing 0
Cited 19

From coarse to fine skin and face detection

MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Statistical Learning of Multi-view Face Detection

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Fast Iris Detection for Personal Verification Using Modular Neural Nets

Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Fast Face Detection Using Neural Networks and Image Decomposition

AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Locating human faces within images

Computer Vision and Image Understanding
FloatBoost Learning and Statistical Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeding-up normalized neural networks for face/object detection

Machine Graphics & Vision International Journal
New fast normalized neural networks for pattern detection

Image and Vision Computing
Face Detection Using Mixture of MLP Experts

Neural Processing Letters
Fast pattern detection using normalized neural networks and cross-correlation in the frequency domain

EURASIP Journal on Applied Signal Processing
New faster normalized neural networks for sub-matrix detection using cross correlation in the frequency domain and matrix decomposition

Applied Soft Computing
A novel model of neural networks for fast data detection

NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks
A view-based statistical system for multi-view face detection and pose estimation

Image and Vision Computing
An efficient algorithm for pattern detection using combined classifiers and data fusion

Information Fusion
Integrating neural networks and PCA for fast covert surveillance

CI'10 Proceedings of the 4th WSEAS international conference on Computational intelligence
New high speed normalized neural networks for pattern detection

SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Pattern detection using fast normalized neural networks

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
A new hybrid system for information security

ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
A survey on recent object detection techniques useful for monocular vision-based planetary terrain classification

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the Constrained Generative Model (CGM). To detect side view faces and to decrease the number of false alarms, a conditional mixture of networks is used. To decrease the computational time cost, a fast search algorithm is proposed. The level of performance reached, in terms of detection accuracy and processing time, allows to apply this detector to a real word application: the indexation of face images on the Web.