Search results for "facial recognition"

showing 10 items of 98 documents

Local operators to detect regions of interest

1997

The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.

ComputationEarly visioncomputer.software_genreMachine learningFacial recognition systemSegmentationArtificial IntelligenceRedundancy (engineering)Selection (linguistics)AttentionSegmentationLimit (mathematics)Face recognitionElectrical and Electronic Engineering1707MathematicsSettore INF/01 - Informaticabusiness.industryInformation processingSignal ProcessingSymmetry operatorComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwarePattern Recognition Letters
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2020

Abstract Efficient neuronal communication between brain regions through oscillatory synchronization at certain frequencies is necessary for cognition. Such synchronized networks are transient and dynamic, established on the timescale of milliseconds in order to support ongoing cognitive operations. However, few studies characterizing dynamic electrophysiological brain networks have simultaneously accounted for temporal non-stationarity, spectral structure, and spatial properties. Here, we propose an analysis framework for characterizing the large-scale phase-coupling network dynamics during task performance using magnetoencephalography (MEG). We exploit the high spatiotemporal resolution of…

Computer scienceCognitive NeurosciencePipeline (computing)Facial recognition system050105 experimental psychologyTask (project management)03 medical and health sciences0302 clinical medicinemedicine0501 psychology and cognitive sciencesEffects of sleep deprivation on cognitive performanceQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testWorking memorybusiness.industryFunctional connectivity05 social sciencesCognitionPattern recognitionMagnetoencephalographyHuman brainElectrophysiologymedicine.anatomical_structureNeurologyArtificial intelligencebusiness030217 neurology & neurosurgeryNeuroImage
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Fast Image Mosaicing for Panoramic Face Recognition

2006

In this article, we present some development results of a system that performs mosaicing (or mosaicking) of panoramic faces. Our objective is to study the feasibility of panoramic face construction in real-time. To do so, we built a simple acquisition system composed of 5 standard cameras which, together, can take simultaneously 5 views of a face at different angles. Then, we chose an easily hardware-achievable algorithm, consisting of successive linear transformations, in order to compose a panoramic face from these 5 views. The method has been tested on a relatively large number of faces. In order to validate our system of panoramic face mosaicing, we also conducted a preliminary study on…

Computer sciencebusiness.industryFast Fourier transformImage mosaickingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFacial recognition systemImage (mathematics)Artificial IntelligenceArtificial visionFace (geometry)Principal component analysisMedia TechnologyComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Multimedia
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Comprehensive Experimental Analysis of Handcrafted Descriptors for Face Recognition

2018

Over the past few decades, LBP descriptor, which shown its high robustness in extracting discriminative features from an image, has been successfully applied in diverse challenging computer vision applications including face recognition. The efficiency and usability of the LBP operator and its success in various real world applications has inspired the development of much new powerful LBP variants. Indeed, after the appearance of the LBP operator, several renowned extensions and modifications of LBP have been proposed in the literature to the point that it can be difficult to recognize their respective LBP-related strategies, strengths and weaknesses according to a given application, and th…

Computer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsUsability02 engineering and technologyMachine learningcomputer.software_genreFacial recognition systemDiscriminative modelRobustness (computer science)0202 electrical engineering electronic engineering information engineeringTask analysis020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerFERETStrengths and weaknesses2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
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Parallel implementation on DSPs of a face detection algorithm

2002

In order to localize the face in an image, our approach consists of approximating the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation: the fuzzy generalized Hough transformation. To reduce the computation time, we present also a parallel implementation of the algorithm on 2 digital signal processors and we show that an acceleration of a factor of 1.62 has been obtained.

Computer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONParallel algorithmEllipseFacial recognition systemEdge detectionHough transformlaw.inventionObject-class detectionlawFace (geometry)Computer visionArtificial intelligenceFace detectionbusiness
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Studies on the Effectiveness of Multispectral Images for Face Recognition: Comparative Studies and New Approaches

2013

In this paper, we investigate face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, three state of the art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are challenged against the IRIS-M3 multispectral face data base to evaluate their robustness against high illumination variation. Second, we propose to enhance the Performance of the three mentioned algorithms, which has been drastically decreased because of the non-monotonic illumination variation that distinguishes the IRIS-M3 face database. Instead of the usual braod band images…

Computer sciencebusiness.industryLocal binary patternsMultispectral imageFeature extractionPattern recognitionSpectral bandsBinary patternFacial recognition systemRobustness (computer science)HistogramComputer visionArtificial intelligencebusiness2013 International Conference on Signal-Image Technology & Internet-Based Systems
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A comparative study of best spectral bands selection systems for face recognition

2014

Multispectral images (MI) have shown promising capabilities to solve problems resulting from high illumination variation in face recognition. However, the use of MI, with the huge number of captured spectral bands for each subject, is impractical unless a system for best spectral bands selection (BSBS) is used. In this work, first we give an up to date overview of the existing BSBS techniques proposed for face recognition. We aim to highlight the imporatnce of this component of MI based systems. The reviewed techniques are then experimented using the multispectral face database IRIS - M3 to compare their performances. To the best of our knowledge this is the first study that reviews and com…

Computer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionSpectral bandsFacial recognition systemFace (geometry)Component (UML)Algorithm designArtificial intelligencebusinessSelection (genetic algorithm)2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)
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Face Recognition with Active Appearance Model (AAM)

2013

Recognition of human faces has been a fascinating subject in research field for many years. It is considered a multidisciplinary field because it includes understanding different domains such as psychology, neuroscience, computer vision, artificial intelligence, mathematics, and many others. Human face perception is intriguing and draws our attention because we accomplish the task so well that we hope to one day witness a machine performing the same task in a similar or better way. This chapter aims to provide a systematic and practical approach regarding to one of the most current techniques applied on face recognition, known as AAM (Active Appearance Model). AAM method is addressed consid…

Computer sciencebusiness.industryPattern recognitionArtificial intelligencebusinessFacial recognition systemActive appearance model
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The indexing of persons in news sequences using audio-visual data

2004

We describe a video indexing system that automatically searches for a specific person in a news sequence. The proposed approach combines audio and video confidence values extracted from speaker and face recognition analysis. The system also incorporates a shot selection module that seeks for anchors, where the person on the scene is likely speaking. The system has been extensively tested on several news sequences with very good recognition rates.

Contextual image classificationComputer scienceSpeech recognitionSearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSelection (linguistics)Speaker recognitionAudio signal processingcomputer.software_genrecomputerFacial recognition systemElectronic mail2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
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Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture

2007

Acquiring 3D data of human face is a general problem which can be applied in face recognition, virtual reality, and many other applications. It can be solved using stereovision. This technique consists in acquiring data in three dimensions from two cameras. The aim is to implement an algorithmic chain which makes it possible to obtain a three-dimensional space from two two-dimensional spaces: two images coming from the two cameras. Several implementations have already been considered. We propose a new simple real-time implementation based on a hybrid architecture (FPGA-DSP), allowing to consider an embedded and reconfigurable processing. Then we show our method which provides depth map of …

Data processingComputer scienceReal-time computinglcsh:Electronicslcsh:TK7800-8360Virtual realityMetaverseFacial recognition systemComputer engineeringDepth mapFace (geometry)Pattern recognition (psychology)Signal ProcessingReference architectureElectrical and Electronic EngineeringInformation SystemsEURASIP Journal on Image and Video Processing
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