Search results for " Vision"

showing 10 items of 2709 documents

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
researchProduct

"Nanodentistry": exploring the beauty of miniature

2011

Feynman’s early vision in 1959 gave birth to the concept of nanotechnology. He saw it as an unavoidable development in the progress of science and said that there is plenty of room at the bottom. Since then, nanotechnology has been part of mainstream scientific theory with potential medical and dental applications. Numerous theoretical predictions have been made based on the potential applications of nanotechnology in dentistry, with varying levels of optimism. While a few layers of nanotechnologic capability have become a reality for oral health in the last decade, many of these applications are still in their puerile stage .The most substantial contribution of nanotechnology to dentistry …

Computer sciencemedia_common.quotation_subjectSocietal impact of nanotechnologyEnvironmental pollutionEarly visionOdontologíaReviewOral healthBioinformatics:CIENCIAS MÉDICAS [UNESCO]Ciencias de la saludApplications of nanotechnologyBeautyBiomaterials and Bioengineering in DentistryUNESCO::CIENCIAS MÉDICASEngineering ethicsGeneral DentistryHuman societymedia_common
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

Il Centro Tau nella Comunità Educante

2022

L’Associazione “Inventare Insieme (onlus)”, anche grazie all’attivazione dell’officina di promozione socio-culturale “Centro Tau”, ha agito nel passato e nel presente e continua ad agire in un’area della città nella quale il cambia- mento innescato attraverso la concatenazione tra diverse azioni portate avanti da esperti, collaboratori, dipendenti, volontari, comincia ad essere visibile. È pur vero che parlare di cambiamento senza incorrere nei rischi di una sovra-rappresentazione della realtà o di una sua strumentalizzazione è sempre difficile. Pertanto, fermo restando che il cambiamento necessita non soltanto di tempi, ma anche di cornici, si farà riferimento, in questo contesto, alla com…

Comunità educanteSettore SPS/11 - Sociologia Dei Fenomeni Politicirete visione partecipazioneSettore SPS/07 - Sociologia Generale
researchProduct

Conceptual representations of actions for autonomous robots

2001

An autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping …

Conceptual spaceHybrid processingArtificial neural networkRepresentation levelComputer scienceProcess (engineering)business.industryGeneral MathematicsPerspective (graphical)Representation (systemics)Computer Science Applications1707 Computer Vision and Pattern RecognitionAutonomous robotNeural networkComputer Science ApplicationsMeaning (philosophy of language)Action (philosophy)ActionControl and Systems EngineeringRobotMathematics (all)Artificial intelligencebusinessArtificial visionProcesseSoftware
researchProduct

Anchoring symbols to conceptual spaces: the case of dynamic scenarios.

2003

In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported.

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAnchoringComputer sciencebusiness.industryGeneral MathematicsRepresentation (systemics)AnchoringComputer Science Applications1707 Computer Vision and Pattern RecognitionCognitive architectureComputer Science ApplicationsAction representationRobot visionControl and Systems EngineeringSituation calculuMathematics (all)Artificial intelligenceSituation calculusbusinessCognitive roboticsSoftware
researchProduct