Search results for "Human visual system"

showing 10 items of 30 documents

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
researchProduct

Subjective image fidelity metric based on bit allocation of the human visual system in the DCT domain

1997

Until now, subjective image distortion measures have partially used diverse empirical facts concerning human perception: non-linear perception of luminance, masking of the impairments by a highly textured surround, linear filtering by the threshold contrast frequency response of the visual system, and non-linear post-filtering amplitude corrections in the frequency domain. In this work, we develop a frequency and contrast dependent metric in the DCT domain using a fully non-linear and suprathreshold contrast perception model: the Information Allocation Function (IAF) of the visual system. It is derived from experimental data about frequency and contrast incremental thresholds and it is cons…

Frequency responsegenetic structuresImage qualitybusiness.industrymedia_common.quotation_subjectDistortionFrequency domainSignal ProcessingMetric (mathematics)Human visual system modelContrast (vision)Computer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessData compressionmedia_commonMathematics
researchProduct

Reduced reference 3D mesh quality assessment based on statistical models

2015

International audience; During their geometry processing and transmission 3D meshes are subject to various visual processing operations like compression, watermarking, remeshing, noise addition and so forth. In this context it is indispensable to evaluate the quality of the distorted mesh, we talk here about the mesh visual quality (MVQ) assessment. Several works have tried to evaluate the MVQ using simple geometric measures, However this metrics do not correlate well with the subjective score since they fail to reflect the perceived quality. In this paper we propose a new objective metric to evaluate the visual quality between a mesh with a perfect quality called reference mesh and its dis…

Gamma distribution[ INFO ] Computer Science [cs]Kullback–Leibler divergenceKullback-Leibler divergencestatistical modelingContext (language use)02 engineering and technologyhuman visual systemDatabases[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringcomputational geometryPolygon mesh[INFO]Computer Science [cs]Divergence (statistics)MathematicsComputingMethodologies_COMPUTERGRAPHICSVisualizationbusiness.industry020207 software engineeringStatistical modelPattern recognitionstatistical distributionsDistortionGeometry processing3D triangle mesh[ SPI.TRON ] Engineering Sciences [physics]/Electronicsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsHuman visual system modelMetric (mathematics)Solid modelingThree-dimensional displays020201 artificial intelligence & image processingDistortion measurementWeibull distributionArtificial intelligencebusinessobjective metricQuality assessment
researchProduct

No-Reference 3D Mesh Quality Assessment Based on Dihedral Angles Model and Support Vector Regression

2016

International audience; 3D meshes are subject to various visual distortions during their transmission and geometrical processing. Several works have tried to evaluate the visual quality using either full reference or reduced reference approaches. However, these approaches require the presence of the reference mesh which is not available in such practical situations. In this paper, the main contribution lies in the design of a computational method to automatically predict the perceived mesh quality without reference and without knowing beforehand the distortion type. Following the no-reference (NR) quality assessment principle, the proposed method focuses only on the distorted mesh. Specific…

Gamma distribution[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[ INFO ] Computer Science [cs]Computer science02 engineering and technologycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Quality (physics)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingVisual maskingDistortion0202 electrical engineering electronic engineering information engineeringGamma distribution[INFO]Computer Science [cs]Polygon mesh[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]No-reference mesh quality assessmentVisual masking effect020207 software engineeringSupport vector machineSupport vector regressionQuality ScoreHuman visual system modelDihedral angles020201 artificial intelligence & image processingData miningAlgorithmcomputer
researchProduct

Realism Score for Immersive Virtual Reality Systems and Driving Simulators

2016

International audience; Traditional 2D or 3D quality assessment methods are not sufficient to assess the realism of the outputs of a simulator/immersive virtual reality system. We propose an assessment method based on a scoring system through a new approach. The objective of this paper is to propose a score scale for any simulator or immersive display system that would represent how close to the human visual system the signals that are sent through the display are. Weighted items considered are contrast, acuity, frames per seconds, brightness, field of view and the number of color available.

Human visual systemSynthèse d'image et réalité virtuelle [Informatique]Realism AssessmentVirtual RealityHuman Visual System[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Modélisation et simulation [Informatique][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVirtual reality[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Interface homme-machine [Informatique]Objective ScoringRealism assessment[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]
researchProduct

Image Quality Assessment by saliency maps

2012

Image Quality Assessment (IQA) is an interesting challenge for image processing applications. The goal of IQA is to replace human judgement of perceived image quality with a machine evaluation. A large number of methods have been proposed to evaluate the quality of an image which may be corrupted by noise, distorted during acquisition, transmission, compression, etc. Many methods, in some cases, do not agree with human judgment because they are not correlated with human visual perception. In the last years the most modern IQA models and metrics considered visual saliency as a fundamental issue. The aim of visual saliency is to produce a saliency map that replicates the human visual system (…

Image Quality Assessment Visual Saliency Saliency Map Human Visual System Perceptual Quality
researchProduct

Age-related changes in the human visual system and prevalence of refractive conditions in patients attending an eye clinic.

2008

PURPOSE: To retrospectively report the trends of change in several parameters of the human visualsystem over a wide age range in patients attending an eye clinic. SETTING: University of Valencia, Valencia, Spain. METHODS: The clinical records of 2654 patients were retrospectively reviewed, and the age, sex, spherocylindrical refraction, visual acuity, keratometry, and intraocular pressure were obtained. Descriptive values for each parameter and the correlations with age and between different parameters were calculated. Vectorial components of refraction, including blur, were also derived from clinical refractive data and then analyzed. RESULTS: Several parameters changed significantly with …

MaleRefractive errorAgingVisual acuitygenetic structuresVisual Acuity0302 clinical medicineMyopiaPrevalence10. No inequalityChildAged 80 and overMiddle AgedRefractive ErrorsSensory SystemsOptical qualitymedicine.anatomical_structureChild PreschoolHuman visual system modelFemalemedicine.symptomAdultmedicine.medical_specialtyAdolescentVision DisordersAstigmatismRefraction Ocular03 medical and health sciencesAgeAge DistributionAge relatedOphthalmologymedicineHumansIn patientIntraocular PressureVision OcularAgedRetrospective StudiesScience & Technologybusiness.industryRefractive errorInfantmedicine.diseaseeye diseasesOphthalmologyCross-Sectional Studies030221 ophthalmology & optometryOptometrySurgeryHuman eyesense organsbusiness030217 neurology & neurosurgeryJournal of cataract and refractive surgery
researchProduct

Study on the transient characteristic in the human visual system using masking experiments

1979

In this paper the visual masking effect is interpreted on the basic of the transient characteristic in two dimensional neuronal networks. The study investigates the suitability of the effect for use as a measurement method. It is shown that the stimulus distribution in space can be scanned at different points in time and that various dynamic characteristic values of the system can be measured.

NeuronsMeasurement methodTime FactorsGeneral Computer ScienceComputer sciencebusiness.industryModels NeurologicalNeural ConductionComplex systemNeural InhibitionStimulus (physiology)Pattern Recognition VisualVisual maskingHuman visual system modelVisual PerceptionHumansVisual PathwaysComputer visionArtificial intelligenceNerve NetBiological systembusinessPhotic StimulationBiotechnologyBiological Cybernetics
researchProduct

2013

The motion energy sensor has been shown to account for a wide range of physiological and psychophysical results in motion detection and discrimination studies. It has become established as the standard computational model for retinal movement sensing in the human visual system. Adaptation effects have been extensively studied in the psychophysical literature on motion perception, and play a crucial role in theoretical debates, but the current implementation of the energy sensor does not provide directly for modelling adaptation-induced changes in output. We describe an extension of the model to incorporate changes in output due to adaptation. The extended model first computes a space-time r…

PhysicsMultidisciplinary05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLeaky integratorMotion detection050105 experimental psychologylaw.invention03 medical and health sciences0302 clinical medicineExtended modelControl theorylawElectrical networkHuman visual system modelPsychophysics0501 psychology and cognitive sciencesMotion perceptionResistor030217 neurology & neurosurgeryPLOS ONE
researchProduct

Midground Object Detection in Real World Video Scenes,

2007

Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is defined by the appearance of a new non-ephemeral object that is between the foreground and background. This midground realm is defined by a temporal window following the object's appearance; but it also depends on adaptive background modeling to allow detection with scene variations (e.g., occlusion, small illumination changes). The human visual system is ill-suited for midground detection. For example, when surveying a busy airline terminal, it is difficult (but important) to detect an unattended bag which appears…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScene statisticsObject (computer science)Object detectionObject-class detectionComputational efficiencyComputer networksSalientVideo trackingHuman visual system modelComputer visionViola–Jones object detection frameworkArtificial intelligencebusiness
researchProduct