Search results for "Facial emotions"

showing 2 items of 2 documents

Time Unification on Local Binary Patterns Three Orthogonal Planes for Facial Expression Recognition

2019

International audience; Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. While deep learning based computer vision algorithms have made themselves more and more present in the recent years, more classical feature extraction methods, such as the ones based on Local Binary Patterns (LBP), still present a non negligible interest, especially when dealing with small datasets. Furthermore, this operator has proven to be quite useful for facial emotions and human gestures recognition in general. Micro-Expression (ME) classification is…

human eyeHistogramsgeometryUnificationComputer scienceLocal binary patternsoptimisationFeature extraction02 engineering and technologyhuman gestures recognitionFacial recognition systemcomputer visionVideos[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]time unification method03 medical and health sciences0302 clinical medicineMathematical modelLBPemotion recognition0202 electrical engineering electronic engineering information engineeringfacial emotionsfacial expression recognitionlocal binary patternsFace recognitionContextual image classificationArtificial neural networkbusiness.industryDeep learningdeep learning[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionComputational modelingmicroexpression classificationInterpolationorthogonal planesneural netsmachine learning[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Micro expressionFeature extraction020201 artificial intelligence & image processinglearning (artificial intelligence)Artificial intelligencebusiness030217 neurology & neurosurgeryGestureimage classification
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The development of facial emotion recognition: The role of configural information

2007

International audience; The development of children's ability to recognize facial emotions and the role of configural information in this development were investigated. In the study, 100 5-, 7-, 9-, and 11-year-olds and 26 adults needed to recognize the emotion displayed by upright and upside-down faces. The same participants needed to recognize the emotion displayed by the top half of an upright or upside-down face that was or was not aligned with a bottom half that displayed another emotion. The results showed that the ability to recognize facial emotion develops with age, with a developmental course that depends on the emotion to be recognized. Moreover, children at all ages and adults e…

AdultMaleConfigural informationVisual perceptionAdolescentSpatial abilitymedia_common.quotation_subjectConcept FormationEmotions[SHS.PSY]Humanities and Social Sciences/PsychologyExperimental and Cognitive PsychologyDevelopmentFacial emotions050105 experimental psychologyDevelopmental psychologyDiscrimination Learning03 medical and health sciencesNonverbal communication[ SHS.PSY ] Humanities and Social Sciences/Psychology0302 clinical medicineInversion effectFace perceptionPerceptionOrientationDevelopmental and Educational PsychologyCognitive developmentHumans0501 psychology and cognitive sciencesChildComputingMilieux_MISCELLANEOUSmedia_commonFacial expressionComposite effect05 social sciencesAge FactorsCognitionFacial ExpressionPattern Recognition VisualChild Preschool[SCCO.PSYC]Cognitive science/PsychologyFemalePsychology030217 neurology & neurosurgery
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