Handbook of image processing operators
Handbook of image processing operators
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Fast and Accurate Face Detector for Indexation of Face Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Fast Modular Neural Nets for Human Face Detection
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Human Face Detection Using Fast Co-operative Modular Neural Nets
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
A New Robust Face Detection in Color Images
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Human iris detection using fast cooperative modular neural nets and image decomposition
Machine Graphics & Vision International Journal
EURASIP Journal on Applied Signal Processing
New fast normalized neural networks for pattern detection
Image and Vision Computing
A new fast forecasting technique using high speed neural networks
WSEAS Transactions on Signal Processing
A new fast forecasting technique using high speed neural networks
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
Fast image matching on web pages
CIS'09 Proceedings of the international conference on Computational and information science 2009
Design of anti-GPS for reasons of security
CIS'09 Proceedings of the international conference on Computational and information science 2009
Fast word detection in a speech using new high speed time delay neural networks
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Fast time delay neural networks for word detection in video conference
ECC'09 Proceedings of the 3rd international conference on European computing conference
An efficient electronic archiving approach for office automation
ECC'09 Proceedings of the 3rd international conference on European computing conference
Fast information processing over business networks
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
Personal identification through biometric technology
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
Fast image matching on web pages
WSEAS Transactions on Signal Processing
Fast Time Delay Neural Networks for Detecting DNA Coding Regions
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Fast principal component analysis for face detection using cross-correlation and image decomposition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fast word detection in a speech using new high speed time delay neural networks
WSEAS Transactions on Signal Processing
A new automated information retrieval system by using intelligent mobile agent
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
Integrating neural networks and PCA for fast covert surveillance
CI'10 Proceedings of the 4th WSEAS international conference on Computational intelligence
Fast packet detection by using high speed time delay neural networks
MUSP'10 Proceedings of the 10th WSEAS international conference on Multimedia systems & signal processing
Prediction of market price by using fast time delay neural networks
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Fast human motion tracking by using high speed neural
SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
Ear recognition by using neural networks
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
A new approach for prediction by using integrated neural networks
AMERICAN-MATH'11/CEA'11 Proceedings of the 2011 American conference on applied mathematics and the 5th WSEAS international conference on Computer engineering and applications
An intelligent approach for fast detection of biological viruses in DNA sequence
ACELAE'11 Proceedings of the 10th WSEAS international conference on communications, electrical & computer engineering, and 9th WSEAS international conference on Applied electromagnetics, wireless and optical communications
A new expert system for pediatric respiratory diseases by using neural networks
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
A new efficient fast routing protocol for MANET
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Surveillance of video signals over computer networks
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Real-time transmission of video streaming over computer networks
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
A new hybrid system for information security
ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
A new fast neural network model
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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Finding an object or a face in an input image is a search problem in the spatial domain. Neural networks have shown good results in detecting a certain face/object in a given image. In this paper, faster neural networks for face/object detection are presented. Such networks are designed based on cross correlation in the frequency domain between the input image and the input weights of neural networks. This approach is developed to reduce the computation steps required by these faster neural networks for the search process. The principle of divide and conquer strategy is applied through image decomposition. Each image is divided into small-size sub-images, and then each of them is tested separately using a single faster neural network. Furthermore, the fastest face/object detection is achieved using parallel processing techniques to test the resulting sub-images simultaneously using the same number of taster neural networks. In contrast to using faster neural networks only, the speed-up ratio is increased with the size of the input image when using faster neural networks and image decomposition. Moreover, the problem of local subimage normalization in the frequency domain is solved. The effect of image normalization on the speed-up ratio for face/object detection is discussed. Simulation results show that local subimage normalization through weight normalization is faster than subimage normalization in the spatial domain. The overall speed-up ratio of the detection process is increased as the normalization of weights is carried out off line.