Search results for "Computer Vision"

showing 10 items of 2353 documents

Gaze Parameters in the Analysis of Ambiguous Geometric Shapes.

2021

This study explores perceptual organisation and shape perception when viewing a tetragon and an additional element (a dot) that is located at varying positions and distances next to the tetragon. The aim of the study is to determine the factors that can alter the interpretation of object configuration and impact whether the presented tetragon is perceived as a diamond or a square. Methods used in this study are a forced-choice task as a subjective measurement and eye tracking as an objective measurement of perceptual processes. Overall, 31 stimuli were presented to the participants: a tetragon in two different sizes with an additional element (a dot) located inside or outside the object at…

Computer sciencebusiness.industrymedia_common.quotation_subjectlcsh:BF1-99005 social sciencesExperimental and Cognitive PsychologyGeometric shapeGaze050105 experimental psychologySensory Systems03 medical and health sciencesOphthalmologylcsh:Psychology0302 clinical medicineArtificial IntelligencePerception0501 psychology and cognitive sciencesComputer visionArtificial intelligenceElement (category theory)business030217 neurology & neurosurgerymedia_commoni-Perception
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Subpixel determination of imperfect circles characteristics

2008

This article deals with the problem of the determination of characteristics of imperfect circular objects in discrete images, namely the radius and center coordinates. To limit distortion, a multi-level method based on active contours was developed. Its originality is to furnish a set of geometric envelopes in one pass, with a correspondence between grayscale and a regularity scale. The adequacy of this approach was tested with several methods, among them is the Radon-based method. More particularly, this study indicates the relevance of the use of active contours combined with a Radon transform-based method which was improved using a fitting considering the discrete implementation of the R…

Computer sciencechemistry.chemical_elementRadonImage processingGeometryGeometric noise010103 numerical & computational mathematics02 engineering and technology01 natural sciencesGrayscaleEdge detectionArtificial IntelligenceDistortion[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsComputingMilieux_MISCELLANEOUSRadon transformActive contour modelRadon transformActive contoursDiscrete circlesSubpixel renderingchemistry[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionModel fittingAlgorithmSoftware
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Optical See-Through Head-Mounted Displays With Short Focal Distance: Conditions for Mitigating Parallax-Related Registration Error

2020

Optical see-through (OST) augmented reality head-mounted displays are quickly emerging as a key asset in several application fields but their ability to profitably assist high precision activities in the peripersonal space is still sub-optimal due to the calibration procedure required to properly model the user's viewpoint through the see-through display. In this work, we demonstrate the beneficial impact, on the parallax-related AR misregistration, of the use of optical see-through displays whose optical engines collimate the computer-generated image at a depth close to the fixation point of the user in the peripersonal space. To estimate the projection parameters of the OST display for a …

Computer sciencelcsh:Mechanical engineering and machineryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciencesCollimated lightlcsh:QA75.5-76.95Rendering (computer graphics)010309 opticsArtificial Intelligenceregistration0103 physical sciencesFocal lengthComputer visionlcsh:TJ1-1570Original Research010302 applied physicsRobotics and AIbusiness.industryoptical see-through displayscalibrationFixation pointaugmented realityComputer Science ApplicationsPhotogrammetryCardinal pointparallax related errorAugmented realityArtificial intelligencelcsh:Electronic computers. Computer scienceParallaxbusinessFrontiers in Robotics and AI
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Evaluation of the registration of temporal series of contrast-enhanced perfusion magnetic resonance 3D images of the liver.

2011

The registration of 2D and 3D images is one of the key tasks in medical image processing and analysis. Accurate registration is a crucial preprocessing step for many tasks; consequently, the evaluation of its accuracy becomes necessary. Unfortunately, this is a difficult task, especially when no golden pattern (true result) is available and when the signal values may have changed between successive images to be registered. This is the case this paper deals with: we have a series of 3D images, magnetic resonance images (MRI) of the liver and adjacent areas that have to be registered. They have been taken while a contrast is diffused through the liver tissue, so intensity of each observed poi…

Computer sciencemedia_common.quotation_subjectContrast MediaHealth InformaticsImage processingImaging Three-DimensionalLiver tissuemedicineContrast (vision)HumansComputer visionPoint (geometry)media_commonGround truthmedicine.diagnostic_testbusiness.industryProcess (computing)Magnetic resonance imagingMagnetic Resonance ImagingComputer Science ApplicationsLiverArtificial intelligencebusinessPerfusionSoftwareAlgorithmsComputer methods and programs in biomedicine
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Restoration and Enhancement of Historical Stereo Photos Through Optical Flow

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed. The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it to register one view onto the other both geometrically …

Computer sciencemedia_common.quotation_subjectNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyConsistency (database systems)Image restoration0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)Contrast (vision)Computer visionImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryOptical flow021001 nanoscience & nanotechnologySensor fusionStereo matchingTransmission (telecommunications)Image denoisingImage enhancementGradient filtering020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Artificial mosaics

2005

Art often provides valuable insight that can be applied to technological innovations, especially in the fields of image processing and computer graphics. In this paper we present a method to transform a raster input image into a good-quality mosaic: an “artificial mosaic.” The creation of mosaics of artistic quality is challenging because the tiles that compose a mosaic, typically small polygons, must be packed tightly and yet must follow and emphasize orientations chosen by the artist. The proposed method can reproduce the colors of the original image and emphasize relevant boundaries by placing tiles along edge directions. No user intervention is needed to detect the boundaries: they are …

Computer sciencemedia_common.quotation_subjectmosaic; non-photorealistic rendering; enhancementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMosaic Non photorealistic rendering Distance transform Image processing and enhancementAlong edgeImage processingMosaic (geodemography)computer.file_formatComputer Graphics and Computer-Aided Designnon-photorealistic renderingImage (mathematics)Computer graphicsSimple (abstract algebra)Computer graphics (images)Quality (business)mosaicComputer Vision and Pattern RecognitionRaster graphicsenhancementcomputerSoftwareComputingMethodologies_COMPUTERGRAPHICSmedia_commonThe Visual Computer
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A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model

2017

[EN] Spatial audio-rendering techniques using head-related transfer functions (HRTFs) are currently used in many different contexts such as immersive teleconferencing systems, gaming, or 3-D audio reproduction. Since all these applications usually involve real-time constraints, efficient processing structures for HRTF modeling and interpolation are necessary for providing real-time binaural audio solutions. This letter presents a parametric parallel model that allows us to perform HRTF filtering and interpolation efficiently from an input HRTF dataset. The resulting model, which is an adaptation from a recently proposed modeling technique, not only reduces the size of HRTF datasets signific…

Computer scienceparallel filters02 engineering and technologySolid modelingbinaural synthesisTransfer functionTECNOLOGIA ELECTRONICA030507 speech-language pathology & audiology03 medical and health sciencesgraphic processing unit (GPU)0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALhead-related transfer function (HRTF) modelingComputer visionElectrical and Electronic EngineeringAdaptation (computer science)Parametric statisticsbusiness.industryApplied MathematicsTeleconferenceBinaural synthesis020206 networking & telecommunicationsFilter (signal processing)interpolationInterpolationGraphic processing unit (GPU)Signal ProcessingHead-related transfer function (HRTF) modelingParallel filtersArtificial intelligence0305 other medical sciencebusinessAlgorithmInterpolation
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Breast Ultra-Sound image segmentation: an optimization approach based on super-pixels and high-level descriptors

2015

International audience; Breast cancer is the second most common cancer and the leading cause of cancer death among women. Medical imaging has become an indispensable tool for its diagnosis and follow up. During the last decade, the medical community has promoted to incorporate Ultra-Sound (US) screening as part of the standard routine. The main reason for using US imaging is its capability to differentiate benign from malignant masses, when compared to other imaging techniques. The increasing usage of US imaging encourages the development of Computer Aided Diagnosis (CAD) systems applied to Breast Ultra-Sound (BUS) images. However accurate delineations of the lesions and structures of the b…

ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCAD02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingBI-RADS lexiconOptimization based Segmentation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineBreast cancerCut0202 electrical engineering electronic engineering information engineeringMedical imagingMedicineComputer visionBreast ultrasound[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPixelmedicine.diagnostic_testbusiness.industryBreast Ultra-SoundGraph-CutsImage segmentationmedicine.disease3. Good healthComputingMethodologies_PATTERNRECOGNITIONComputer-aided diagnosis020201 artificial intelligence & image processingMachine-Learning based SegmentationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Morse Description and Geometric Encoding of Digital Elevation Maps

2004

Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse-topological structure of the image, while the second one computes a simplified version of its drainage structure. The topographic significance of the Morse and drainage structures of digital elevation maps (DEMs) suggests that they can been used as the basis of an efficient encoding scheme. As an application, we combine this geometric representation with an interpolation algorithm and lossless data compression schemes to develop a compression scheme for DEMs. This algorithm achieves high compression while controlling the maximum …

ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingData_CODINGANDINFORMATIONTHEORYSensitivity and SpecificityPattern Recognition AutomatedPhysics::GeophysicsImaging Three-DimensionalCompression (functional analysis)Image Interpretation Computer-AssistedComputer SimulationComputer visionMorse theoryMathematicsLossless compressionbusiness.industryReproducibility of ResultsNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedData CompressionImage EnhancementTopographic mapComputer Graphics and Computer-Aided DesignArtificial intelligencebusinessAlgorithmAlgorithmsSoftwareData compressionImage compressionInterpolationIEEE Transactions on Image Processing
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Improving the k-NCN classification rule through heuristic modifications

1998

Abstract This paper presents an empirical investigation of the recently proposed k-Nearest Centroid Neighbours ( k -NCN) classification rule along with two heuristic modifications of it. These alternatives make use of both proximity and geometrical distribution of the prototypes in the training set in order to estimate the class label of a given sample. The experimental results show that both alternatives give significantly better classification rates than the k -Nearest Neighbours rule, basically due to the properties of the plain k -NCN technique.

ComputingMethodologies_PATTERNRECOGNITIONTraining setArtificial Intelligencebusiness.industryClassification ruleSignal ProcessingCentroidPattern recognitionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsPattern Recognition Letters
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