Search results for "artificial intelligence"

showing 10 items of 6122 documents

Assessment of spatial perception for a multi-layer volumetric display: the effect of exocentric and egocentric distance on relative depth judgements

2020

Three-dimensional images on multiple depth layers of the volumetric display provide the physiological depth cues which ensure the high precision of depth judgements at close viewing distances and enhance the user experience. However, the contribution of physiological cues declines with an increase of viewing distance (egocentric distance), and the human spatial perception varies depending on the inter-stimuli distance (exocentric distance). We conducted a psychophysical experiment to test the perception of three-dimensional images rendered on the volumetric display depending on exocentric and egocentric stimuli distance. The constant angular size visual stimuli were displayed on different d…

Visual perceptionEndocentric and exocentricbusiness.industryComputer sciencemedia_common.quotation_subjectVolumetric displayStimulus (physiology)Angular diameterPerceptionBinocular disparityComputer visionArtificial intelligenceDepth perceptionbusinessmedia_commonAdvances in Display Technologies X
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A Posture Sequence Learning System for an Anthropomorphic Robotic Hand

2003

The paper presents a cognitive architecture for posture learning of an anthropomorphic robotic hand. Our approach is aimed to allow the robotic system to perform complex perceptual operations, to interact with an human user and to integrate the perceptions by a cognitive representation of the scene and the observed actions. The anthropomorphic robotic hand imitates the gestures acquired by the vision system in order to learn meaningful movements, to build its knowledge by different conceptual spaces and to perform complex interaction with the human operator.

Visual perceptionHand posture recognitionComputer scienceMachine visionGeneral Mathematicsmedia_common.quotation_subjectHuman–computer interfaceHuman-computer interfaceRobotics; Imitation learning; Machine learningHuman–computer interactionPerceptionMachine learningComputer visionConceptual spacesmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryVisual perceptionImitation learningRepresentation (systemics)CognitionCognitive architectureComputer Science ApplicationsRoboticControl and Systems EngineeringSequence learningArtificial intelligencebusinessSoftwareGesture
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2021

In the early 19th century, William H. Wollaston impressed the Royal Society of London with engravings of portraits. He manipulated facial features, such as the nose, and thereby dramatically changed the perceived gaze direction, although the eye region with iris and eye socket had remained unaltered. This Wollaston illusion can be thought of as head orientation attracting perceived gaze direction when the eye region is unchanged. In naturalistic viewing, the eye region changes with head orientation and typically produces a repulsion effect. Here we explore if there is a flip side to the illusion. Does the gaze direction also alter the perceived direction of the head? We used copies of the …

Visual perceptionHead (linguistics)media_common.quotation_subjectIllusionExperimental and Cognitive PsychologyGazeSensory SystemsVisual artsOphthalmologyPortraitArtificial IntelligenceOrientation (mental)Psychologymedia_commoni-Perception
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Insect brains use image interpolation mechanisms to recognise rotated objects.

2008

Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees…

Visual perceptionInsectaComputer Science/Natural and Synthetic VisionMachine visionVisual Physiologylcsh:MedicineImage processingBiologyVisual memoryAnimalsHumansComputer visionlcsh:ScienceMultidisciplinaryNeuroscience/Behavioral Neurosciencebusiness.industrylcsh:RCognitive neuroscience of visual object recognitionNeuroscience/Animal CognitionBrainBeesObject (philosophy)Pattern Recognition VisualPattern recognition (psychology)Visual Perceptionlcsh:QArtificial intelligencebusinessResearch ArticlePLoS ONE
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''Forward to the past''

2012

Carlini, Alessandro | Actis-Grosso, Rossana | Stucchi, Natale | Pozzo, Thierry; International audience; ''Our daily experience shows that the CNS is a highly efficient machine to predict the effect of actions into the future; are we so efficient also in reconstructing the past of an action? Previous studies demonstrated we are more effective in extrapolating the final position of a stimulus moving according to biological kinematic laws. Here we address the complementary question: are we more effective in extrapolating the starting position (SP) of a motion following a biological velocity profile? We presented a dot moving upward and corresponding to vertical arm movements that were masked i…

Visual perceptionMOTIONComputer scienceMODELSNewton's laws of motionInferenceKinematicsStimulus (physiology)lcsh:RC321-571ONSET''Behavioral NeuroscienceBiological conditioninternal models''MOTOR-PERCEPTUAL INTERACTIONSComputer visionOriginal Research ArticlePOSITIONlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryDIRECTIONBiological PsychiatryMotor areaMOVEMENTSbusiness.industryMOTOR-PERCEPTUAL INTERACTIONSMotion InferenceVELOCITYmotion inference kinematics internal models visual perceptionPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologykinematicsONSET[ SCCO.NEUR ] Cognitive science/NeuroscienceVisual PerceptionArtificial intelligenceM-PSI/01 - PSICOLOGIA GENERALEbusinessREPRESENTATIONAL MOMENTUMRepresentational momentumNeuroscience
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GESTALT-INSPIRED FEATURES EXTRACTION FOR OBJECT CATEGORY RECOGNITION

2013

International audience; We propose a methodology inspired by Gestalt laws to ex- tract and combine features and we test it on the object cat- egory recognition problem. Gestalt is a psycho-visual the- ory of Perceptual Organization that aims to explain how vi- sual information is organized by our brain. We interpreted its laws of homogeneity and continuation in link with shape and color to devise new features beyond the classical proxim- ity and similarity laws. The shape of the object is analyzed based on its skeleton (good continuation) and as a measure of homogeneity, we propose self-similarity enclosed within shape computed at super-pixel level. Furthermore, we pro- pose a framework to …

Visual perceptionSimilarity (geometry)[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing3D single-object recognitionmedia_common.quotation_subjectFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSkeleton (category theory)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Gestalt[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPerceptionobject category recognition0202 electrical engineering electronic engineering information engineeringmedia_common[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingCaltech 101business.industryCognitive neuroscience of visual object recognition[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionRegion Self-SimilarityObject (computer science)Semantic GroupingIEEEGestalt psychology020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Looking in Depth: Visual Distance Perception of Stimuli on Volumetric Multi-Planar Display

2018

Ability to distinguish relative location of visual stimuli on a multi-planar display was evaluated within psychophysical experiment in order to figure out the impact of physical distance between stimuli across depth of volumetric data.

Visual perceptionVisual acuityComputer sciencebusiness.industrymedia_common.quotation_subjectVolumetric dataEye movementVisual distancePlanarPerceptionMedical imagingmedicineComputer visionArtificial intelligencemedicine.symptombusinessmedia_commonImaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
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Colour vision experimental studies in teaching of optometry

2005

Following aspects related to human colour vision are included in experimental lessons for optometry students of University of Latvia. Characteristics of coloured stimuli (emitting and reflective), determination their coordinates in different colour spaces. Objective characteristics of transmitting of colour stimuli through the optical system of eye together with various types of appliances (lenses, prisms, Fresnel prisms). Psychophysical determination of mono- and polychromatic stimuli perception taking into account physiology of eye, retinal colour photoreceptor topography and spectral sensitivity, spatial and temporal characteristics of retinal receptive fields. Ergonomics of visual perce…

Visual perceptionVisual acuitygenetic structuresColor visionbusiness.industryColour VisionGlare (vision)Flicker fusion thresholdeye diseasesSpectral sensitivityGeographyReceptive fieldmedicineOptometryComputer visionsense organsArtificial intelligencemedicine.symptombusinessSPIE Proceedings
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Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks

2012

The identification of the networks connecting brain areas and the understanding of their role in executing complex tasks is a crucial issue in cognitive neuroscience. In this study, specific visuomotor tasks were devised to reveal the functional network underlying the cooperation process between visual and motor regions. Electroencephalography (EEG) data were recorded from twelve healthy subjects during a combined visuomotor task, which integrated precise grip motor commands with sensory visual feedback (VM). This condition was compared with control tasks involving pure motor action (M), pure visual perception (V) and visuomotor performance without feedback (V + M). Multivariate parametric …

Visual perceptiongenetic structuresComputer scienceProcess (engineering)Health InformaticsSensory systemCognitive neuroscienceElectroencephalographybehavioral disciplines and activitiesTask (project management)Functional connectivitymedicineEEGHealth Informaticmedicine.diagnostic_testbusiness.industryCoherence (statistics)Visuomotor integrationVisual cortexmedicine.anatomical_structurePowerSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinessNeuroscienceCoherencepsychological phenomena and processes
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Retinal image quality and visual stimuli processing by simulation of partial eye cataract

2016

Visual stimuli were demonstrated on a 4.3’’ mobile phone screen inside a “Virtual Reality” adapter that allowed separation of the left and right eye visual fields. Contrast of the retina image thus can be controlled by the image on the phone screen and parallel to that at appropriate geometry by the AC voltage applied to scattering PDLC cell inside the adapter. Such optical pathway separation allows to demonstrate to both eyes spatially variant images, that after visual binocular fusion acquire their characteristic indications. As visual stimuli we used grey and different color (two opponent components to vision – red-green in L*a*b* color space) spatially periodical stimuli for left and ri…

Visual perceptiongenetic structuresbusiness.industryComputer sciencemedia_common.quotation_subjectSubtractionSpectral bandsGratingColor spaceLuminanceeye diseasesOpticsPerceptionComputer visionClockwiseArtificial intelligencebusinessmedia_commonOptics in Health Care and Biomedical Optics VII
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