Eigenface

About: Eigenface is a research topic. Over the lifetime, 2128 publications have been published within this topic receiving 110119 citations.

Are face recognition methods useful for classifying ships

Abstract: Face recognition research has gained significant interest in recent years which has resulted in the development of many state-of-the-art methods However, it is not well-known how domain specific these methods are to the problem of face recognition Could these algorithms be used to classify and identify other objects, such as ships seen from electro-optical satellite imagery? Face recognition research shares many of the same challenges with many other types of classification research, such as illumination, pose and resolution variation Therefore, a study of this type is warranted We present a comparison of several classical (eg eigenfaces and fisherfaces) as well as recent state-of-the-art face recognition methods (eg sparse representation and local binary patterns) using one standard face database and two databases of ship images collected from satellite imagery An analysis of these results as well as future directions conclude the paper

Advances in biometrics : International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006 : proceedings

Abstract: Face Verification Contest 2006.- Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes.- Face.- Assessment of Blurring and Facial Expression Effects on Facial Image Recognition.- Ambient Illumination Variation Removal by Active Near-IR Imaging.- Rapid 3D Face Data Acquisition Using a Color-Coded Pattern and a Stereo Camera System.- Face Recognition Issues in a Border Control Environment.- Face Recognition Using Ordinal Features.- Specific Sensors for Face Recognition.- Fusion of Infrared and Range Data: Multi-modal Face Images.- Recognize Color Face Images Using Complex Eigenfaces.- Face Verification Based on Bagging RBF Networks.- Improvement on Null Space LDA for Face Recognition: A Symmetry Consideration.- Automatic 3D Face Recognition Using Discriminant Common Vectors.- Face Recognition by Inverse Fisher Discriminant Features.- 3D Face Recognition Based on Facial Shape Indexes with Dynamic Programming.- Revealing the Secret of FaceHashing.- Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models.- Cascade AdaBoost Classifiers with Stage Optimization for Face Detection.- Facial Image Reconstruction by SVDD-Based Pattern De-noising.- Pose Estimation Based on Gaussian Error Models.- A Novel PCA-Based Bayes Classifier and Face Analysis.- Highly Accurate and Fast Face Recognition Using Near Infrared Images.- Background Robust Face Tracking Using Active Contour Technique Combined Active Appearance Model.- Ensemble LDA for Face Recognition.- Information Fusion for Local Gabor Features Based Frontal Face Verification.- Using Genetic Algorithms to Find Person-Specific Gabor Feature Detectors for Face Indexing and Recognition.- The Application of Extended Geodesic Distance in Head Poses Estimation.- Improved Parameters Estimating Scheme for E-HMM with Application to Face Recognition.- Component-Based Active Appearance Models for Face Modelling.- Fingerprint.- Incorporating Image Quality in Multi-algorithm Fingerprint Verification.- A New Approach to Fake Finger Detection Based on Skin Distortion.- Model-Based Quality Estimation of Fingerprint Images.- A Statistical Evaluation Model for Minutiae-Based Automatic Fingerprint Verification Systems.- The Surround ImagerTM: A Multi-camera Touchless Device to Acquire 3D Rolled-Equivalent Fingerprints.- Extraction of Stable Points from Fingerprint Images Using Zone Could-be-in Theorem.- Fingerprint Image Enhancement Based on a Half Gabor Filter.- Fake Fingerprint Detection by Odor Analysis.- Ridge-Based Fingerprint Recognition.- Fingerprint Authentication Based on Matching Scores with Other Data.- Effective Fingerprint Classification by Localized Models of Support Vector Machines.- Fingerprint Ridge Distance Estimation: Algorithms and the Performance.- Enhancement of Low Quality Fingerprints Based on Anisotropic Filtering.- K-plet and Coupled BFS: A Graph Based Fingerprint Representation and Matching Algorithm.- A Fingerprint Recognition Algorithm Combining Phase-Based Image Matching and Feature-Based Matching.- Fast and Robust Fingerprint Identification Algorithm and Its Application to Residential Access Controller.- Design of Algorithm Development Interface for Fingerprint Verification Algorithms.- The Use of Fingerprint Contact Area for Biometric Identification.- Preprocessing of a Fingerprint Image Captured with a Mobile Camera.- Iris.- A Phase-Based Iris Recognition Algorithm.- Graph Matching Iris Image Blocks with Local Binary Pattern.- Localized Iris Image Quality Using 2-D Wavelets.- Iris Authentication Using Privatized Advanced Correlation Filter.- Extracting and Combining Multimodal Directional Iris Features.- Fake Iris Detection by Using Purkinje Image.- A Novel Method for Coarse Iris Classification.- Global Texture Analysis of Iris Images for Ethnic Classification.- Modeling Intra-class Variation for Nonideal Iris Recognition.- A Model Based, Anatomy Based Method for Synthesizing Iris Images.- Study and Improvement of Iris Location Algorithm.- Applications of Wavelet Packets Decomposition in Iris Recognition.- Iris Image Real-Time Pre-estimation Using Compound BP Neural Network.- Iris Recognition in Mobile Phone Based on Adaptive Gabor Filter.- Robust and Fast Assessment of Iris Image Quality.- Efficient Iris Recognition Using Adaptive Quotient Thresholding.- A Novel Iris Segmentation Method for Hand-Held Capture Device.- Iris Recognition with Support Vector Machines.- Speech and Signature.- Multi-level Fusion of Audio and Visual Features for Speaker Identification.- Online Signature Verification with New Time Series Kernels for Support Vector Machines.- Generation of Replaceable Cryptographic Keys from Dynamic Handwritten Signatures.- Online Signature Verification Based on Global Feature of Writing Forces.- Improving the Binding of Electronic Signatures to the Signer by Biometric Authentication.- A Comparative Study of Feature and Score Normalization for Speaker Verification.- Dynamic Bayesian Networks for Audio-Visual Speaker Recognition.- Biometric Fusion and Performance Evaluation.- Identity Verification Through Palm Vein and Crease Texture.- Multimodal Facial Gender and Ethnicity Identification.- Continuous Verification Using Multimodal Biometrics.- Fusion of Face and Iris Features for Multimodal Biometrics.- The Role of Statistical Models in Biometric Authentication.- Technology Evaluations on the TH-FACE Recognition System.- Study on Synthetic Face Database for Performance Evaluation.- Gait and Keystroke.- Gait Recognition Based on Fusion of Multi-view Gait Sequences.- A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI).- Reconstruction of 3D Human Body Pose for Gait Recognition.- Artificial Rhythms and Cues for Keystroke Dynamics Based Authentication.- Retraining a Novelty Detector with Impostor Patterns for Keystroke Dynamics-Based Authentication.- Biometric Access Control Through Numerical Keyboards Based on Keystroke Dynamics.- Keystroke Biometric System Using Wavelets.- GA SVM Wrapper Ensemble for Keystroke Dynamics Authentication.- Enhancing Login Security Through the Use of Keystroke Input Dynamics.- Others.- A Study of Identical Twins' Palmprints for Personal Authentication.- A Novel Hybrid Crypto-Biometric Authentication Scheme for ATM Based Banking Applications.- An Uncorrelated Fisherface Approach for Face and Palmprint Recognition.- Fast and Accurate Segmentation of Dental X-Ray Records.- Acoustic Ear Recognition.- Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game.- A Novel Strategy for Designing Efficient Multiple Classifier.- Hand Geometry Based Recognition with a MLP Classifier.- A False Rejection Oriented Threat Model for the Design of Biometric Authentication Systems.- A Bimodal Palmprint Verification System.- Feature-Level Fusion of Hand Biometrics for Personal Verification Based on Kernel PCA.- Human Identification System Based on PCA Using Geometric Features of Teeth.- An Improved Super-Resolution with Manifold Learning and Histogram Matching.- Invertible Watermarking Algorithm with Detecting Locations of Malicious Manipulation for Biometric Image Authentication.- The Identification and Recognition Based on Point for Blood Vessel of Ocular Fundus.- A Method for Footprint Range Image Segmentation and Description.- Human Ear Recognition from Face Profile Images.

Two-dimensional reduction PCA: a novel approach for feature extraction, representation, and recognition

Abstract: We develop a novel image feature extraction and recognition method two-dimensional reduction principal component analysis (2D-RPCA)). A two dimension image matrix contains redundancy information between columns and between rows. Conventional PCA removes redundancy by transforming the 2D image matrices into a vector where dimension reduction is done in one direction (column wise). Unlike 2DPCA, 2D-RPCA eliminates redundancies between image rows and compresses the data in rows, and finally eliminates redundancies between image columns and compress the data in columns. Therefore, 2D-RPCA has two image compression stages: firstly, it eliminates the redundancies between image rows and compresses the information optimally within a few rows. Finally, it eliminates the redundancies between image columns and compresses the information within a few columns. This sequence is selected in such a way that the recognition accuracy is optimized. As a result it has a better representation as the information is more compact in a smaller area. The classification time is reduced significantly (smaller feature matrix). Furthermore, the computational complexity of the proposed algorithm is reduced. The result is that 2D-RPCA classifies image faster, less memory storage and yields higher recognition accuracy. The ORL database is used as a benchmark. The new algorithm achieves a recognition rate of 95.0% using 9 × 5 feature matrix compared to the recognition rate of 93.0% with a 112 × 7 feature matrix for the 2DPCA method and 90.5% for PCA (Eigenfaces) using 175 principal components.

Exploring the geo-dependence of human face appearance

Abstract: The expected appearance of a human face depends strongly on age, ethnicity and gender. While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. To support this effort, we constructed GeoFaces, a large dataset of geotagged face images. We examine the geo-dependence of Eigenfaces and use two supervised methods for extracting geo-informative features. The first, canonical correlation analysis, is used to find location-dependent component images as well as the spatial direction of most significant face appearance change. The second, linear discriminant analysis, is used to find countries with relatively homogeneous, yet distinctive, facial appearance.

Practical Procedures to Improve Face Recognition Based on Eigenfaces and Principal Component Analysis 1

Abstract: Face recognition is a vital research area with some important challenges mainly concerning images taken in nonideal illumination conditions. We propose an approach based on eigenfaces and principal compo- nent analysis in which we use symmetrization techniques for poorly illuminated faces from The Yale Face Data- base. The obtained recognition rates are above 72% when we work with images with illumination problems.