face-recognition

She says the late-blooming nature of face recognition may simply be a case of practice making perfect.

Given the sensitivity, Google decided not to release a face-recognition search engine it had made.

The result of face recognition experiment shows that it has powerful ability of feature extraction.

Face recognition technology will become a great potential bio-identification method relying on its remarkable technical advantage.

This paper compares the most popular dimensionality reduction and pattern classification methods used in criminal suspect face recognition.

Second, in addition to the general characteristics of face recognition, self-face recognition had unique characteristics.

Machine vision can be used in many automatic systems, like video surveillance, face recognition, and pedestrian monitoring.

It is one of the research hotspots recently, and it is quite prospective in research of face recognition.

The face recognition technology is the main method of biometrics identification technology in identity authentication.

Three different localized representation methods to face recognition are compared in terms of recognition accuracy.

and friends face recognition showed the left anterior frontal advantages, which may be associated with the names of the faces.

Experimental results show that the method can effectively improve the recognition rate of face recognition systems.

This finally made some meaningful research results, for the face recognition study provides strong data and positive suggestions.

The face recognition process includes mainly face detection and orientation, face feature recognition and classification etc.

If you're eager for attention, fans and face recognition, scientific research is not for you.

Facial feature points localization takes an important role in the face recognition, facial expression analysis, cartoon face synthesis, etc.

This paper introduces the theory of Compressive Sensing(CS), and three main problems and their solutions when using CS for face recognition.

The characteristic subspace is structured, then the face recognition is implemented in the characteristic subspace.

This thesis addresses the problems of illumination evaluation and illumination compensation in face recognition technology.

As the premise of face rotation and normalizing, locating eyes accurately is a pivotal step in the pretreatment of face recognition.

Face-recognition technology is just the latest Facebook product that privacy advocates say goes over the line.

Automatic human face recognition is attractive in pattern recognition and image procession. The human face is a complex pattern.

The face recognition technology can detect the same face with 15 different facial expressions and is unaffected by varying lighting.

The implemented eye detection codec was also employed in a face recognition system.

Lastly, face recognition can be realized by appropriate distance measurement.

Face detection is the necessary earlier task in face recognition process, aiming at separating the face area from the background image.

Theoretically speaking, near infrared image face recognition can resolve the difficult problem in light conditions change or masked face.

Subspace methods for face recognition , image representation , image metric, and ensemble learning .

Experiment shows that the recognition rate of the proposed method is about 90% and it is an effective face recognition method.

This system includes video capture module, the face detect module, the feature extraction module and the face recognition module.

Then pick-up the face areas from the gray image, prepare for face recognition.

Firstly, this paper introduces some typical methods of face detection and face recognition, and analyzes their merits and demerits.

One of the critical steps of face recognition is face detection.

Making use of their face recognition technology, this site offers several fun effects you can play with your photos.

The paper designed and implemented a fast and efficient face recognition system for embedded devices, using near-infrared light.

An efficient method which based on the face classification is being used to the face recognition.

In face recognition stage, when the category is not too much, face recognition correctness rate has reached to more than 95%.

With face recognition, so long as you've got some change and you are an adult, you can buy cigarettes like before.

It has high applicable worthiness at the domain of face recognition.

Face recognition is an active research area in the artificial intelligence.

In face recognition process, the dominant area in face of information acquired was right facial area.

In this study, a nearest feature space embedding (called NFS embedding) algorithm is proposed for face recognition.

Experimental results show that the algorithm is feasible and effective for face recognition, and its accuracy is 94. 38% on ORL.

That's where the first marriage between this mathematical tool and face recognition got introduced.

Wowman provides face recognition techniques, art creation and their related products in online, mobile internet and offline markets.

Face recognition software and light measuring software manage the show and biggest thing of all. . . there is no display!

A CEDT opportunities and support vector machine classification and face recognition.

This paper proposes the face recognition method based on principle component analysis (PCA) and independent component analysis (ICA).

This paper proposes a fuzzy-criterion-based wavelet feature selection method for face recognition.

A model of supervised learning is proposed based on the mechanism of immune recognition and applied into the Human Face Recognition.

The use of thermal infrared(IR) image can improve the performance of face recognition under uncontrolled illumination conditions.

Face detection-an important step of face recognition-has a direct influence on the speed and accuracy of face recognition .

Finally, nearest neighbor classifier is selected to perform face recognition.

This system consists of face recognition systems, GSM network, stepping motor and ARM control system.

We have used sample images to test the face recognition application based the methods above, and the recognition rate is above 85%.

It also discusses the primary processing and recognition diagram of SVM applied to face recognition.

A central issue to a successful approach for face recognition is how to extract discriminative feature from the facial images.

For suspected miscreants, and people chasing them, face-recognition technology is old hat.

Similarly, automatic face recognition would solve the pesky problem of photograph labeling.

In the pattern recognition strut vector machine , may use in the person face recognition training !

This paper presents an algorithm for face recognition using skin color and template matching.

An efficient face recognition system is designed by using Discrete Wavelet Transform( DWT ), Principal Component Analysis(PCA) and WMMC.

Introducted the face recognition technology. At last, we gave the entire design of software and hardware, and the algorithm of PCA.

An efficient method for infrared face recognition by blood perfusion model of human face and FFT is proposed.

So the paper also do some researches on the method of face detection and face recognition and the design classifying method.

Compared with other biometrics technology, face recognition is more direct, friend and convenient.

Variant lighting is a important factor which effect human face recognition.

And feature extraction is the critical stages in the face recognition.

In this paper, a fractal based graph theoretic approach for face recognition is presented.

In this paper, a face recognition method using wavelet decomposition and AIS is presented.

A new PCA-based facial feature location and face recognition algorithm is investigated.

A new algorithm to speed up elastic matching face recognition algorithm was presented.

So, people begin to contact the ensemble learning with face recognition method.

After that, the influences on the face recognition caused by difference of scale and illumination intension are eliminated. 2.

Automatic age estimation based on facial images is an important research trend of face recognition.

But when 'black Desi gets in there, no face recognition anymore, ' Desi says onscreen.

These were fed into the face-recognition software along with 250, 000 photos gleaned from publicly available profiles on Facebook.

Only this AF, face recognition, automatic operation!

This course features in-depth study materials and assignments designed to explore all aspects of object and face recognition.

Eyes location is important in iris recognition and face recognition.

This can make face recognition more accurate, and has great potential for novel ways of interacting with your phone.

The modern technology of Biometrics consists of face recognition, fingerprint recognition, speaker recognition and so on.

Face recognition algorithms often have to solve problems such as facial pose, illumination, and expression (PIE).

Face detection come from face recognition, it is the first stage of face recognition system, is also a critical stage.

Such as handwritten Chinese character recognition, face recognition, network intrusion detection.

The face-recognition tool is enabled for all users by default.

And the client has two separate interviews by professional social workers face-to-face recognition.

In recent months, he has devised an algorithmic approach to face recognition that has produced prodigious results.

It is the first step for any fully automatic face recognition system and has lots of applications.

A new algorithm of face recognition based on global and local feature extraction was proposed to solve small samples in LDA.

"This is the strongest evidence for a role of genes in face recognition abilities in humans, " Kanwisher said.

The face recognition system pays much attention to whether an input image is matched with the training images.

Like other face recognition software (such as in the web-based version of Google's Picasa), iPhoto is not foolproof.

Eigenface is an important approach in the field of face recognition.

In this paper, an algorithm of face recognition which based on bivariate non-separable wavelet is graved.

Control signal is mainly the face recognition system to correct the corresponding prompt signals, such as speech.

A novel classification measure based on matrix volume according to the high dimensional geometry theory is proposed for face recognition.

Feature extraction is an important step in face recognition, and it can affect the effectiveness of the algorithm.

The technology of face recognition based on support vector machines is researched in this paper.

One is face-recognition software itself, which has improved a lot.

In order to search for an efficient feature extraction approach for face recognition, a method based on feature level fusion was presented.

They are used in everything from inspecting spark plugs to face recognition.

Face recognition technology is an important part in biometric identification technology.

Joyface. net, is a entertainment sites dedicated to face recognition and portrait.

A novel method for infrared face recognition based on PCA and LDA in wavelet domain is proposed.

An illumination invariant face recognition algorithm based on L1 total variation model is proposed.

And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization(NMF) is presented.

That might not seem a big percentage, but the hit rate will get better as face-recognition software improves and more snaps are uploaded.

Next on our agenda, we want to demonstrate face recognition.

Apply the fuzzy associative memory neural network based on small world model to face recognition.

Over the years, person has long been centered around by most of the research works, such as face recognition, gender recognition, and so on.

This paper develops a non-invigilation exam system based on face recognition and VC platform.

Based on ORL database, the model is used to face recognition to analyze its pattern recognition capability.

A face recognition method based on 2D Principal Component Analysis(2DPCA) and compressive sensing is introduced in this paper.

At the same time, face detection and face recognition is a challenging task.

The paper proposed a method of person face recognition based on the HMM.

This paper presents a face recognition algorithm that is based on wavelet transform and linear discriminant analysis.

A household security video surveillance system which is used face recognition technology has been designed in this paper.

He says the average faces could also be used with existing face recognition technology for use, say, at airports for example.

A novel Bayesian approach to face recognition based on wavelet transform and 2DPCA is proposed.

Pros : easy to use; face recognition; integration with Picasa; Creative Commons licensing

An Iterative Algorithm for the Generalized Optimal Set of Discriminant Vectors and Its Application to Face Recognition

The digital photographing apparatus includes: a face recognition unit detecting face information from a real image;

Small world network; Fuzzy associative memory network; Weights matrix; optimal selection generation algorithm; Face recognition;

intelligence classifier; optimal method; small sample size problem; face recognition; artificial intelligence

Dissociations between Implicit and Explicit Memory: An ERP Study of Face Recognition

Classified Elastic Matching Face Recognition Algorithm Used in Large Database

Study of Appearance-based Subspace Face Recognition Algorithms

A Study of the Impact of Single-dimensionality Configural Information Change on Face Recognition

Bi-Objective Optimal Image Discriminant Analysis and Its Application in Face Recognition

The Application Study of SVM Used in Face Recognition

A Method for Creating Closed Area of Pattern Distribution and its Application in Face Recognition

Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition

Design and Realization of a Police-Oriented Face Recognition System

Wavelet-based Non-negative Matrix Factorization with Sparseness Constraints for Face Recognition

Wavelet-based Training Sample Enhancement for Face Recognition with One Training Sample

Application of Face Recognition Technology in Intelligential Video Monitoring System

Face Recognition Technology and Its Application in Access Control System

Study of Using Artificial Neural Network in Human face Recognition

Application of Combination Experiments of Common Distance Classifiers in Face Recognition

Generalized Face Recognition System Basing on Independent Component Analysis

Face Recognition Technology Used in Digital Video Record System

Maximum Scatter Difference Discriminant Analysis and Face Recognition

The Computer Face Recognition System and Its Application in Realistic Life

Maximum scatter difference discriminant analysis in residual space and face recognition

Linear Discriminant Analysis in Complementary Subspace for Face Recognition

Pre-Processing for Face Recognition Under Different Illumination Conditions

Effects of early components of event-related potential and behavior changes on specificity of face recognition

Optimal Gabor features selection for face recognition using an improved margin- based algorithm

Kernel-based nearest neighbor feature centroid classifiers for face recognition

Application of the Multi-Objective Genetic Algorithm in Face Recognition

General Theory Research on Morphological Correlation for Gray-Scale Face Recognition

Evidence for Serial Processing in Identity Information Retrieval in Face Recognition

Comparative Study of Some Face Recognition Algorithms

Race Identity As a Visual Feature: A Review on the Researches of Race Face Recognition

Face Recognition by Independent Component Analysis and Fuzzy Support Vector Machine

Fusion of Multiple Classifiers for Face Recognition and Person Authentication

Foreign developed face recognition system though nerviou network, codes were written seriously, while worth of using for reference,

Face recognition with one training sample by repeatedly used face features

Modified algorithm of principal component analysis for face recognition

Kernel Principal Component Analysis and Application in Face Recognition

Nonlinear Discriminant Feature Fusion Method for Face Recognition

Human Face Recognition Using Information of Face Components to Improve Elastic Matching

A perturbation algorithm for MDA in high dimensional space and its application to face recognition

Comparison with BP and RBF neural network used in face recognition

Face recognition scheme with controllable recognition time

Face Recognition on Internet and Its Application in Warship

Singular value decomposition-based approach for face recognition

Second, to test Chinese college students' neural mechanisms of self-face recognition;

Some Researches for Face Recognition with One Training Image per Person

A New Kernel Discriminant Analysis Algorithm and its Application to Face Recognition

Design and Implementation of Vehicle License Plate and Human Face Recognition System

Fuzzy Criterion Based Wavelet Feature Selection for Face Recognition

Modular PCA and its application in human face recognition

A Method for Solving Eyeglasses Interference in Infrared Face Recognition

Case-Studies of Implemented Face Recognition Systems Synthesis and Open Issues

The Problem Existed in Face Recognition Using SVD and Its Solution

The Experimental Research on the Application of Cure Algorithm in Face Recognition

The summarizations on the different brain mechanism study between face recognition and object recognition

An Improved Fuzzy Support Vector Machine and Its Application to Face Recognition

An Optimal Kernel Fisher Discriminant Analysis and Face Recognition

The Application of Singular Value Decomposition in Face Recognition

Various pose face recognition with one front training sample

Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition

Efficient Feature Extraction in an Attendance System Based on Face Recognition

Optimal feature extraction and face recognition based on kernel machine-based one-parameter multiple discriminant analysis

Face Recognition under Varying Illumination

Chin Contours Classification for Face Recognition

The Application of Face Recognition Technology in Travel Documents

A Fuzzy Feature Extraction Analysis and Application in Face Recognition

Face Recognition Method of Kernel Principal Component Analysis-based

A Study of Face Recognition Based on Principal Component Analysis and BP Neural Network

Face Recognition under Different Expressions and Multi-views

Face Recognition of Combining Two Dimensional Projection with PCA

Attribute Means Clustering Binary Tree and Applied on Face Recognition

Radiation-energy Based Infrared Face Recognition

Application of Fractal Encoding in the Face Recognition

The Effects of Different Exposure Time on Unfamiliar Face Recognition

Face Recognition Method Under Non-uniform Illumination and Noise

Summarization and Prospects for the Method of Face Recognition

Discriminant local feature analysis with applications to face recognition

The Research of Statistical Feature-based Method and Wave Decomposition-based Method to Face Recognition

A New Image Enhancement Method for Face Recognition with Single Training Sample

Eyeglasses removal from facial images for face recognition

Face recognition experiment based on principal components and independent components

Combining Classifiers in Face Recognition

Algorithm Study for Face Recognition Using Hidden Markov Models

An Implementation of a Face Recognition System Based on Gabor Wavelets

Two keys to the application of wavelet transform in human face recognition

Pupils Are Used to Normalize Face in Face Recognition

Analysis and Prospect of Face Recognition Technology

On the Guiding Principles for Testing Face Recognition Systems

A Novel Minimal Angle Face Recognition Algorithm on Eigenface Space

Valid face recognition based on unsymmetrical characters under changed illumination

Face Recognition System Based on Multilayer Neural Networks for Motion Invariant Pattern Recognition

Application of Data Mining Technology in Face Recognition

Research on Face Recognition Approaches of Infrared Image

Face Recognition Algorithm Based on Uncorrelated Discriminant Features

Application of Isomap and RBF Neural Network in Face Recognition System

Face Recognition Using Support Vector Machines

Combined Feature Extraction Based on Canonical Correlation Analysis and Face Recognition

Symmetrical PCA and Its Application to Face Recognition

Image Region Selection and Ensemble for Face Recognition Xin Geng and Zhi-Hua Zhou

Feature Extraction in Human Face Recognition System

Feature-Based Face Recognition by Elastic Graph Matching

Face recognition based on uncorrelated weighted discriminant analysis

A Comparative Study on Face Recognition Using LDA-Based Algorithm

Research on Face Recognition Based on Two- Dimensional Weighted Principal Component Analysis

A Face Recognition System Based on Independent Component Analysis and Minimax Probability Machine

A Synergetic Algorithm for Static Face Recognition

Face Recognition Using Gabor Feature with Small Samples

A Face Recognition Method Using Support Vector Machines

Research on Face Recognition Technology

Research Technology of Face Recognition

Finishing the Classifier Design of Spectroface Human Face Recognition

A Face Recognition Algorithm of Principal Component Analysis Based on Fuzzy Membership Functions

The Analysis of Face Recognition'Development

Face Recognition Based on Singular Value Decomposition and Discriminant KL Projection

Face Recognition Algorithm Based on Local Features Analysis and Optimization Matching

A Comparative Study on Face Recognition Using PCA-based Methods

Realization of Face Recognition System

Study on Hybrid Method of Feature Extraction and Face Recognition

A face recognition algorithm in the complex background

Higher performance method of face recognition

Quasi-Frontal Face Recognition Based on Wavelet Decomposition and Support Vector Machines

A new Alternative formulation of orthogonal LPP with Application to Face Recognition

Face Recognition Based on an Improved Least Squares Method

Improved Face Recognition Algorithm Based on Non-Negative Matrix Factorization

Face Recognition Based on KPCA and Optimal Discriminant Independent Components

A Novel Feature Selection Method for Face Recognition