Search results for " Vision"

showing 10 items of 2709 documents

Mathematical analysis of the stimulus for the lateral line organ

1985

Behavioral studies have shown that a blind fish is capable of detecting and recognizing stationary objects in its surroundings. It is proposed that the displacement of water caused by the fish as it moves is the basis for this detection capability. Alterations in the displacement of water around the fish, caused by the obstacle, act as stimuli for the lateral line organ. The question of how these stimuli acting on the skin of the fish, image the environment and what information is thus made available to the fish is the concern of this paper. The stimuli for the lateral line organ are derived mathematically. Two cases are treated: that of a fish gliding past an obstacle and that of one appro…

General Computer ScienceSurface PropertiesComputer sciencebusiness.industryModels NeurologicalElectric ConductivityFishesStimulus (physiology)BlindnessBehavioral studyObstacleAnimalsComputer visionArtificial intelligencebusinessMathematicsSimulationSkinBiotechnologyBiological Cybernetics
researchProduct

An efficient method for fully automatic 3D digitization of unknown objects

2013

Our goal is to develop a complete and automatic scanning strategy with minimum prior information about the object shape. We aim to establish a methodology for the automation of the 3D digitization process. The paper presents a novel approach to determine the Next Best View (NBV) for an efficient reconstruction of highly accurate 3D models. Our method is based on the classification of the acquired surfaces into Well Visible and Barely Visible combined with a best view selection algorithm based on mean shift, which avoids unreachable positions. Our approach is applicable to all kinds of range sensors. To prove the efficiency and the robustness of our method, test objects are first scanned man…

General Computer Sciencebusiness.industryComputer science3D reconstructionGeneral Engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringRanging02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Fully automatic0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionMean-shiftArtificial intelligencebusinessSelection algorithmDigitization
researchProduct

2021

This paper proposes a new method for blind mesh visual quality assessment (MVQA) based on a graph convolutional network. For that, we address the node classification problem to predict the perceived visual quality. First, two matrices representing the 3D mesh are considered: a graph adjacency matrix and a feature matrix. Both matrices are used as input to a shallow graph convolutional network. The network consists of two convolutional layers followed by a max-pooling layer to provide the final feature representation. With this structure, the Softmax classifier predicts the quality score category without the reference mesh’s availability. Experiments are conducted on four publicly available …

General Computer Sciencebusiness.industryComputer scienceNode (networking)Feature extractionGeneral EngineeringPattern recognitionFeature (computer vision)Softmax functionGraph (abstract data type)General Materials SciencePolygon meshArtificial intelligenceAdjacency matrixbusinessRepresentation (mathematics)IEEE Access
researchProduct

Irregular motion recovery in fluorescein angiograms

1997

Abstract Fluorescein angiography is a common procedure in ophthalmic practice, mainly to evaluate vascular retinopathies and choroidopathies from sequences of ocular fundus images. In order to compare the images, a reliable overlying is essential. This paper proposes some methods for the recovery of irregular motion in fluorescein angiograms (FA). The overlying is done by a three step procedure: detection of relevant points, matching points from different images and estimation of the assumed linear geometric transformation. A stochastic model (closely related to the general linear model) allows to fuse the second and third steps. Two different estimators of the geometric transformation are …

General linear modelMatching (graph theory)Mean squared errormedicine.diagnostic_testbusiness.industryGeometric transformationEstimatorFluorescein angiographyTransformation (function)Artificial IntelligenceMotion estimationSignal ProcessingmedicineComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
researchProduct

Order statistics-based parametric classification for multi-dimensional distributions

2013

Traditionally, in the field of Pattern Recognition (PR), the moments of the class-conditional densities of the respective classes have been used to perform classification. However, the use of phenomena that utilized the properties of the Order Statistics (OS) were not reported. Recently, in [10,8], we proposed a new paradigm named CMOS, Classification by the Moments of Order Statistics, which specifically used these quantifiers. It is fascinating that CMOS is essentially ''anti''-Bayesian in its nature because the classification is performed in a counter-intuitive manner, i.e., by comparing the testing sample to a few samples distant from the mean, as opposed to the Bayesian approach in whi…

GeneralizationGaussianBayesian probabilityOrder statisticExponential functionsymbols.namesakeExponential familyArtificial IntelligenceSignal ProcessingPattern recognition (psychology)symbolsComputer Vision and Pattern RecognitionAlgorithmSoftwareMathematicsParametric statisticsPattern Recognition
researchProduct

Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics

2015

The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation times on ventricular chambers can be estimated from electro-anatomical maps, providing crucial information to clinicians for guiding cardiac radio-frequency ablation treatment. However, some relevant electrical pathways such as those of the Purkinje system are very difficult to interpret from these maps due to sparsity of data and the limited spatial resolution of the system. We present here a novel method to estimate these fast electrical pathways from the local activati…

GeodesicHeart VentriclesAction PotentialsHealth InformaticsVentricular tachycardiaSensitivity and SpecificityVentricular Function LeftPurkinje FibersImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingImage resolutionFast marching methodSimulationMathematicsRadiological and Ultrasound Technologybusiness.industryBody Surface Potential MappingProcess (computing)Reproducibility of ResultsPattern recognitionImage Enhancementmedicine.diseaseComputer Graphics and Computer-Aided Designmedicine.anatomical_structureRadiology Nuclear Medicine and imagingVentricleSimulated dataFeasibility StudiesComputer Vision and Pattern RecognitionArtificial intelligencebusinessDistance transformAlgorithmsMedical Image Analysis
researchProduct

Modelling the appearance of chromatic environment using hyperspectral imaging

2013

Color of objects is a spectral composition of incident light source, reflection properties of the object itself, and spectral tuning of the eye. Light sources with different spectral characteristics can produce metameric representation of color; however most variable in this regard is vision. Pigments of color vision are continuously bleached by different stimuli and optical density of the pigment is changed, while continuous conditions provide an adaptation and perception of white. Special cases are color vision deficiencies which cover almost 8 % of male population in Europe. Hyperspectral imaging allows obtaining the spectra of the environment and modelling the performance of the dichrom…

GeographyOpticsPrimary colorColor constancyDominant wavelengthColor visionbusiness.industryColor balanceColor temperaturebusinessSpectral colorCIE 1931 color spaceRemote sensingSPIE Proceedings
researchProduct

A Search for the Hidden King: Messianism, Prophecies and Royal Epiphanies of the Kings of Aragon (circa 1250-1520)

2019

Modern historiography has studied the influence of messianic and millennialist ideas in the Crown of Aragon extensively and, more particularly, how they were linked to the Aragonese monarchy. To date, research in the field of art history has mainly considered royal iconography from a different point of view: through coronation, historical or dynastic images. This article will explore the connections, if any, between millennialist prophetic visions and royal iconography in the Crown of Aragon using both texts and the figurative arts, bearing in mind that sermons, books and images shared a common space in late medieval audiovisual culture, where royal epiphanies took place. The point of depar…

Germanias revoltHistoryroyal iconography0507 social and economic geographyprophetismContext (language use)Crown of Aragon050701 cultural studies060104 historyMonarchy0601 history and archaeologyIconographyVisual cultureArt gòticVisionlcsh:NX1-820messianism05 social sciencesHistoriography06 humanities and the artsGeneral Medicinelcsh:Arts in generalMessianismapocalyptic visionsCoronationClassics
researchProduct

Gesture recognition using low-cost devices: Techniques, applications, perspectives

2016

Negli ultimi anni abbiamo assistito ad una grande diffusione dei cosiddetti “Kinect-like devices”, ovvero dispositivi basati su un insieme di sensori a basso costo, che consentono di ottenere un’immagine di profondità della scena ripresa. L’alta accessibilità di questi dispositivi, principalmente in termini di costi, ne ha facilitato la diffusione nell’ambito del riconoscimento dei gesti in numerose applicazioni, sia commerciali che di ricerca. In questo articolo saranno inizialmente illustrati i principi generali su cui si fondano le principali tecniche utilizzate per riconoscere i gesti, sfruttando i dati ottenibili dai dispositivi “Kinect-like”. Successivamente, saranno presentati alcuni…

Gesture recognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniTouchless interactionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMedia TechnologyKinect-like devicesComputer Science Applications1707 Computer Vision and Pattern RecognitionInformation SystemInformation Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Media TechnologyHuman-computer interactionInformation Systems
researchProduct

Quantification of the microstructural evolution of polycrystalline fabrics using FAME: Application to in situ deformation of ice

2014

Abstract In geology, glaciology and material science new technological advances result in an ever increasing amount of data and datasets, in particular when in situ experiments are conducted. Rapid, rigorous and reliable statistical treatment is needed to allow researchers to access these large datasets for further analysis. Here, we present FAME (Fabric Analyser based Microstructure Evaluation), a suite of Matlab® scripts that utilize the Matlab® open-source toolboxes MTEX and PolyLX (optional) for rapid quantification of thin section data. The data has been collected using an automated Fabric Analyser at a spatial resolution of 5 μm/pixel. From the dataset, grain maps are reconstructed an…

GlaciologyOrientation tensorPixelOrientation (computer vision)AnalyserGeologyGrain boundaryDeformation (meteorology)Image resolutionGeologyRemote sensingJournal of Structural Geology
researchProduct