Search results for "Facial recognition system"

showing 10 items of 69 documents

Clustering techniques for personal photo album management

2009

In this work we propose a novel approach for the automatic representation of pictures achieving at more effective organization of personal photo albums. Images are analyzed and described in multiple representation spaces, namely, faces, background and time of capture. Faces are automatically detected, rectified and represented projecting the face itself in a common low-dimensional eigenspace. Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Faces, time and background information of each image in the collection is automatically organized using a mean-shift clustering technique. Given the particular domain of personal photo libraries, wh…

Gabor filterspattern clusteringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcontent-based retrievalFacial recognition systemimage retrievalimage colour analysisHistogramComputer visionimage representationElectrical and Electronic EngineeringCluster analysisImage retrievalMathematicsbusiness.industryCBIR - Content Based Image Retrieval automatic image annotation personal photo album managementPattern recognitionAtomic and Molecular Physics and OpticsComputer Science ApplicationsData setAutomatic image annotationFace (geometry)RGB color modelArtificial intelligenceeigenvalues and eigenfunctionsbusinessface recognitionJournal of Electronic Imaging
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Head Tracking via Robust Registration in Texture Map Images.

1998

A novel method for 3D head tracking in the presence of large head rotations and facial expression changes is described. Tracking is formulated in terms of color image registration in the texture map of a 3D surface model. Model appearance is recursively updated via image mosaicking in the texture map as the head orientation varies. The resulting dynamic texture map provides a stabilized view of the face that can be used as input to many existing 2D techniques for face recognition, facial expressions analysis, lip reading, and eye tracking. Parameters are estimated via a robust minimization procedure; this provides robustness to occlusions, wrinkles, shadows and specular highlights. The syst…

Head trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFacial expressionbusiness.industryComputer scienceColor imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationFacial recognition systemRobustness (computer science)Motion estimationSpecular highlightEye trackingComputer visionArtificial intelligencebusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICSData compression
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Small Sample Biometric Recognition Based on Palmprint and Face Fusion

2009

Contactless biometrics provide high comfort and hygiene in person recognition. Because of this, such systems are better accepted by the general public. This paper proposes an adaptive, contactless, biometric system which combines two modalities: palmprint and face. The processing chain has been designed to overcome embedded system constraints and small sample set problem: after a palmprint is extracted from a hand image, Gabor filters are applied to both the palmprint and face in order to extract parameters, which are then used for classification. Fusion possibilities are also discussed and tested using a multimodal database of 130 people designed by the authors. High recognition performanc…

Image fusionModality (human–computer interaction)BiometricsPixelComputer sciencebusiness.industryFeature extractionPattern recognitionContext (language use)Facial recognition systemFace (geometry)Computer visionArtificial intelligencebusiness2009 Fourth International Multi-Conference on Computing in the Global Information Technology
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Dynamic best spectral bands selection for face recognition

2014

In this paper, face recognition in uncontrolled illumination conditions is investigated. A twofold contribution is proposed. First, three state-of-art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are evaluated upon the IRIS-M3 face database to study their robustness against a high illumination variation conditions. Second, we propose to use visible multispectral images, provided by the same face database, to enhance the performance of the three mentioned algorithms. To reduce the high data dimensionality introduced by the use of multispectral images, we have designed a system t…

Local binary patternsbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionSpectral bandsBinary patternMixture modelFacial recognition systemComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionHistogramComputer visionArtificial intelligencebusiness2014 48th Annual Conference on Information Sciences and Systems (CISS)
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Self-Relevance Appraisal Influences Facial Reactions to Emotional Body Expressions

2013

International audience; People display facial reactions when exposed to others' emotional expressions, but exactly what mechanism mediates these facial reactions remains a debated issue. In this study, we manipulated two critical perceptual features that contribute to determining the significance of others' emotional expressions: the direction of attention (toward or away from the observer) and the intensity of the emotional display. Electromyographic activity over the corrugator muscle was recorded while participants observed videos of neutral to angry body expressions. Self-directed bodies induced greater corrugator activity than other-directed bodies; additionally corrugator activity was…

MaleAnatomy and Physiology[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionEmotionslcsh:MedicineFacial MusclesAngerAngerSocial and Behavioral SciencesFacial recognition system[SCCO]Cognitive science0302 clinical medicinePsychologyEmotional expressionlcsh:Sciencemedia_commonMultidisciplinary05 social sciencesExperimental PsychologyFacial ExpressionFacial musclesmedicine.anatomical_structureMental HealthMedicineFemale[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Cognitive psychologyResearch ArticleAdultmedia_common.quotation_subjectCognitive NeuroscienceNeurophysiologyBiologyEmotional processing050105 experimental psychologyNeurological System03 medical and health sciencesYoung AdultMotor ReactionsPerceptionmedicineHumans0501 psychology and cognitive sciences[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Facial feedback hypothesisBiologyMotor SystemsFacial expressionBehaviorElectromyographylcsh:RNeurosciencesRecognition Psychology[SCCO] Cognitive scienceSelf ConceptNeurons and Cognitionlcsh:Q[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition030217 neurology & neurosurgeryNeuroscience
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The integration of visual context information in facial emotion recognition in 5- to 15-year-olds.

2016

International audience; The current study investigated the role of congruent visual context information in the recognition of facial emotional expression in 190 participants from 5 to 15 years of age. Children performed a matching task that presented pictures with different facial emotional expressions (anger, disgust, happiness, fear, and sadness) in two conditions: with and without a visual context. The results showed that emotions presented with visual context information were recognized more accurately than those presented in the absence of visual context. The context effect remained steady with age but varied according to the emotion presented and the gender of participants. The findin…

MaleVisual perceptiongenetic structuresAdolescentmedia_common.quotation_subjectEmotionsHappiness[ SCCO.PSYC ] Cognitive science/PsychologyExperimental and Cognitive PsychologyContext (language use)Visual contextDevelopmentAngerFacial recognition system050105 experimental psychologyContext integrationddc:150Developmental and Educational PsychologyHumans0501 psychology and cognitive sciencesEmotional expressionLanguage impairmentChildChildrenmedia_commonEmotionFacial expressionContext effect05 social sciencesRecognition PsychologyFearDisgustSocial cognitionSadnessFacial ExpressionChild Preschool[SCCO.PSYC]Cognitive science/PsychologyVisual PerceptionFemalePsychologyFacial RecognitionPhotic Stimulation050104 developmental & child psychologyCognitive psychologyJournal of experimental child psychology
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Implicit binding of facial features during change blindness

2014

Change blindness refers to the inability to detect visual changes if introduced together with an eye-movement, blink, flash of light, or with distracting stimuli. Evidence of implicit detection of changed visual features during change blindness has been reported in a number of studies using both behavioral and neurophysiological measurements. However, it is not known whether implicit detection occurs only at the level of single features or whether complex organizations of features can be implicitly detected as well. We tested this in adult humans using intact and scrambled versions of schematic faces as stimuli in a change blindness paradigm while recording event-related potentials (ERPs). …

MaleVisual perceptiongenetic structureslcsh:MedicinehavaitseminenSocial and Behavioral SciencesBlindnessFacial recognition systemPsychologylcsh:Scienceskin and connective tissue diseaseschange detectionEvoked Potentialskasvotta515media_commonfeature bindingmuutossokeuschange blindnessMultidisciplinaryExperimental PsychologyMental HealthVisual PerceptionMedicineSensory PerceptionFemalePsychologyNeurotieteet - NeurosciencesChange detectionResearch Articleimplicit processingAdultmedia_common.quotation_subjectta3112behavioral disciplines and activitiesNeuropsychologyEvent-related potentialPerceptionReaction TimeHumansBiologyFacial expressionPsykologia - Psychologylcsh:RCognitive PsychologyNeurophysiologyFaceChange blindnessface perceptionEvoked Potentials Visuallcsh:Qsense organsNeurosciencePhotic StimulationNeuroscience
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Simple Fingerprint Minutiae Extraction Algorithm Using Crossing Number On Valley Structure

2007

Most of the existing fingerprint extraction techniques currently available are based on ridge structure. The ridge usually has thicker structure than the valley, so that more processing time is needed to extract the ridge than extracting the valley. Taking the advantage of the thin structure of the valley, we proposed an algorithm that reduces the time needed for minutiae extraction. The algorithm was developed in Matlab environment using fingerprint images from FVC2004. In order to show the performance of the algorithm, numerical results are presented.

MinutiaePixelbusiness.industryFeature extractionPattern recognitionFingerprint recognitionRidge (differential geometry)Facial recognition systemComputingMethodologies_PATTERNRECOGNITIONGeographyFingerprintArtificial intelligenceMATLABbusinesscomputercomputer.programming_language2007 IEEE Workshop on Automatic Identification Advanced Technologies
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2014

Background The development of face and object processing has attracted much attention; however, studies that directly compare processing of both visual categories across age are rare. In the present study, we compared the developmental trajectories of face and object processing in younger children (8–10 years), older children (11–13 years), adolescents (14–16 years), and adults (20–37). Methodology/Principal Findings We used a congruency paradigm in which subjects compared the internal features of two stimuli, while the (unattended) external features either agreed or disagreed independent of the identity of the internal features. We found a continuous increase in matching accuracy for faces…

MultidisciplinaryVisual perceptionFace perceptionPerceptionmedia_common.quotation_subjectContext (language use)CognitionBiologyYoung adultFacial recognition systemChild developmentCognitive psychologymedia_commonPLOS ONE
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Extraction and fusion of spectral parameters for face recognition

2011

This is the copy of journal's version originally published in Proc. SPIE 7877: http://spie.org/x10.xml?WT.svl=tn7. Reprinted with permission of SPIE. Many methods have been developed in image processing for face recognition, especially in recent years with the increase of biometric technologies. However, most of these techniques are used on grayscale images acquired in the visible range of the electromagnetic spectrum. The aims of our study are to improve existing tools and to develop new methods for face recognition. The techniques used take advantage of the different spectral ranges, the visible, optical infrared and thermal infrared, by either combining them or analyzing them separately …

Near Infrared[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingBiometrics[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingInfraredComputer scienceElectromagnetic spectrumFeature extractionImage processing02 engineering and technologyShort Wave Infrared[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingGrayscaleFacial recognition system[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringFeature descriptorComputer visionFace recognition[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryNear-infrared spectroscopyVisibleFeature extraction020201 artificial intelligence & image processingArtificial intelligencefeature descriptorbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]
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