Search results for "Visual Perception"

showing 10 items of 387 documents

Multicolour LEDs in educational demonstrations of physics and optometry

2014

LED light sources are used to design experimental setup for university courses teaching human color vision. The setup allows to demonstrate various vision characteristics and to apply for student practical exercises to study eye spectral sensitivity in different spectral range using heterochromatic flicker photometry. Technique can be used in laboratory works for students to acquire knowledge in visual perception, basics of electronics and measuring, or it can be applied as fully computer control experiment. Besides studies of the eye spectral sensitivity students can practice in trichromatic color matching and other visual perception tasks

EngineeringVisual perceptionColor visionbusiness.industryFlickerComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVisualizationlaw.inventionLED lampPhotometry (optics)Spectral sensitivitylawComputer visionArtificial intelligencebusinessLight-emitting diode12th Education and Training in Optics and Photonics Conference
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Visual Behaviour Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

2012

For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehe…

EngineeringpolarizationVisual perceptionColor visionbusiness.industryVisionCognitive neuroscience of visual object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robotics02 engineering and technologyPolarization (waves)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 opticsCamouflageBio-inspired0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionVisual behaviourDetection theoryArtificial intelligencebusiness
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Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data

2018

Color vision deficiency (CVD) affects more than 4% of the population and leads to a different visual perception of colors. Though this has been known for decades, colormaps with many colors across the visual spectra are often used to represent data, leading to the potential for misinterpretation or difficulty with interpretation by someone with this deficiency. Until the creation of the module presented here, there were no colormaps mathematically optimized for CVD using modern color appearance models. While there have been some attempts to make aesthetically pleasing or subjectively tolerable colormaps for those with CVD, our goal was to make optimized colormaps for the most accurate perce…

FOS: Computer and information sciences0301 basic medicineBrightnessVisual perceptionVisionComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognitionlcsh:MedicineSocial SciencesColor Vision Defects01 natural sciencesMass SpectrometryAnalytical ChemistrySecondary Ion Mass SpectrometrySpectrum Analysis TechniquesMathematical and Statistical TechniquesPsychologyComputer visionlcsh:ScienceData ProcessingMultidisciplinaryPhysicsClassical MechanicsOther Quantitative Biology (q-bio.OT)Quantitative Biology - Other Quantitative BiologyChemistryPhysical SciencesRegression AnalysisSensory PerceptionInformation TechnologyStatistics (Mathematics)AlgorithmsColor PerceptionResearch ArticleComputer and Information SciencesColor visionColorFluid MechanicsLinear Regression AnalysisColor spaceResearch and Analysis MethodsContinuum Mechanics010309 optics03 medical and health sciencesSine Waves0103 physical sciencesHumansStatistical MethodsFluid FlowVision OcularHueColor Visionbusiness.industrylcsh:RBiology and Life SciencesFluid Dynamics030104 developmental biologyFOS: Biological scienceslcsh:QArtificial intelligencebusinessMathematical FunctionsMathematicsPhotic StimulationSoftwareNeurosciencePLOS ONE
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PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance

2019

Traditionally, the vision community has devised algorithms to estimate the distance between an original image and images that have been subject to perturbations. Inspiration was usually taken from the human visual perceptual system and how the system processes different perturbations in order to replicate to what extent it determines our ability to judge image quality. While recent works have presented deep neural networks trained to predict human perceptual quality, very few borrow any intuitions from the human visual system. To address this, we present PerceptNet, a convolutional neural network where the architecture has been chosen to reflect the structure and various stages in the human…

FOS: Computer and information sciencesComputer Science - Machine LearningVisual perceptionComputer scienceImage qualitymedia_common.quotation_subjectFeature extractionMachine Learning (stat.ML)02 engineering and technology01 natural sciencesConvolutional neural networkhuman visual systemMachine Learning (cs.LG)010309 opticsStatistics - Machine LearningPerception0103 physical sciences0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringperceptual distancemedia_commonArtificial neural networkbusiness.industryDeep learningImage and Video Processing (eess.IV)Pattern recognitionElectrical Engineering and Systems Science - Image and Video Processingneural networksHuman visual system model020201 artificial intelligence & image processingArtificial intelligencebusiness
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Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation

2010

The human perceptual system performs rapid processing within the early visual system: low spatial frequency information is processed rapidly through magnocellular layers, whereas the parvocellular layers process all the spatial frequencies more slowly. The purpose of the present paper is to test the usefulness of low spatial frequency (LSF) information compared to high spatial frequency (HSF) and broad spatial frequency (BSF) visual stimuli in a classification task of emotional facial expressions (EFE) by artificial neural networks. The connectionist modeling results show that an LSF information provided by the frequency domain is sufficient for a distributed neural network to correctly cla…

Facial expressionVisual perceptionArtificial neural networkComputer sciencebusiness.industryCognitive NeurosciencePattern recognitionCognitive neuroscienceComputer Science ApplicationsPerceptual systemModels of neural computationConnectionismArtificial IntelligenceParvocellular cellFrequency domainComputer visionArtificial intelligencebusinessNeurocomputing
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Characteristics of neuronal systems in the visual cortex

1987

The coupling complexity of cortical areas makes it very difficult to analyse them experimentally. Studies of model systems provide the possibility of adapting the analysis to the available data base and elaborating the fundamental properties that depend on the structure of the system. We propose a model system of variable complexity that is spatially two-dimensional and time-dependent, uses feedback for iteration and smoothing, includes the mapping of the cortical networks and can be nonlinear as the case requires. Combining such elementary systems on the basis of neuroanatomical findings enables us to simulate cortical mappings and to interpret neurophysiological data. The decisive factor …

General Computer ScienceComputer scienceModels NeurologicalComplex systemRetinamedicineAnimalsVision OcularVisual CortexNeuronsQuantitative Biology::Neurons and CognitionBasis (linear algebra)business.industryPattern recognitionNeurophysiologyNonlinear systemVisual cortexmedicine.anatomical_structureCoupling (computer programming)RetinotopyVisual PerceptionArtificial intelligencebusinessMathematicsSmoothingBiotechnologyBiological Cybernetics
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An overall description of retinotopic mapping in the cat's visual cortex areas 17, 18, and 19.

1985

Mathematical functions are derived which model the retinotopic mapping in the cat's visual cortical areas 17, 18, and 19. All three mappings are simple modifications of a complex power function with an exponent of 0.43. This function is decomposed so as to give an intermediate stage which is common to all three mappings and can be regarded as a model of the lateral geniculate nucleus mapping. The influence of retinotopic mapping on visual receptive fields was studied. The results show that a dependence of the receptive field properties on the position in the visual field is to be expected.

General Computer ScienceModels NeurologicalVisual systemLateral geniculate nucleusRetinaPosition (vector)medicineAnimalsVisual CortexOrientation columnbusiness.industryPattern recognitionFunction (mathematics)Visual fieldVisual cortexmedicine.anatomical_structureReceptive fieldCatsVisual PerceptionArtificial intelligenceVisual FieldsbusinessPsychologyNeuroscienceMathematicsSoftwareBiotechnologyBiological cybernetics
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On the function of cell systems in area 18. Part I

1981

In addition to the asymmetry of the spatial coupling and of the specific temporal combination of excitation and inhibition, the non-linearity is very pronounced in area 18. Taking the sequence of a linear operation and a stationary nonlinear characteristic as a model, the experimental findings can be systematized and a cell classification specified which departs from the customary ones. The hypercomplex cell system probably originates in recurrent inhibition and leads to differentiation of the patterns along their contour line. Problems of cell classification and of the type of parallelism in the visual cortex are discussed.

General Computer Sciencemedia_common.quotation_subjectModels NeurologicalGeometryFunction (mathematics)AsymmetryNonlinear systemVisual cortexmedicine.anatomical_structureCoupling (computer programming)Contour lineCatsVisual PerceptionmedicineAnimalsHypercomplex cellSpatial frequencyBiological systemPhotic StimulationVisual CortexBiotechnologymedia_commonMathematicsBiological Cybernetics
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Visual memory in Alzheimer patients: effects of practice, retention interval and severity of cognitive decline.

1995

The study was aimed at estimating the effect size of practice, retention interval and dementia severity on free recall performance in Alzheimer patients. Patients met DSM-III-R criteria for dementia of Alzheimer type. Different picture sets were presented on 4 days. The forgetting curves on different days were compared using ANOVA for repeated measurements. Practice had a minor, but significant negative effect on recall performance explaining 1% of the variance in recall performance. The retention interval varied between zero and 24 h explaining 23% of the total variance. Dementia severity explained 52% of the variance. For the development of memory improvement strategies in Alzheimer patie…

GerontologyMalemedicine.medical_specialtyTime FactorsCognitive NeuroscienceAudiologyCognitionVisual memoryAlzheimer DiseaseMemory improvementmedicineDementiaHumansCognitive declineAgedMemory DisordersRecallmedicine.diseasePsychiatry and Mental healthFree recallVisual PerceptionFemaleAnalysis of varianceGeriatrics and GerontologyAlzheimer's diseasePsychologyDementia (Basel, Switzerland)
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The time course of processing handwritten words: An ERP investigation

2021

Available online 25 June 2021. Behavioral studies have shown that the legibility of handwritten script hinders visual word recognition. Furthermore, when compared with printed words, lexical effects (e.g., word-frequency effect) are magnified for less intelligible (difficult) handwriting (Barnhart and Goldinger, 2010; Perea et al., 2016). This boost has been interpreted in terms of greater influence of top-down mechanisms during visual word recognition. In the present experiment, we registered the participants’ ERPs to uncover top-down processing effects on early perceptual encoding. Participants’ behavioral and EEG responses were recorded to high- and low-frequency words that varied in scr…

HandwritingCognitive Neurosciencemedia_common.quotation_subjectSpeech recognitionExperimental and Cognitive PsychologyLegibility050105 experimental psychology03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineHandwritingPerceptionEncoding (memory)Lexical decision taskHumans0501 psychology and cognitive sciencesEvoked Potentialsmedia_commonVisual word recognitionVisual word processing05 social sciencesERPsComputingMethodologies_PATTERNRECOGNITIONPattern Recognition VisualReadingTime courseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGVisual PerceptionHandwritten word processingVisual word recognitionPsychology030217 neurology & neurosurgery
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