Search results for "Image"

showing 10 items of 6818 documents

Ontological Analysis and Modularization of CIDOC-CRM

2020

Conference cancelled due to COVID19; International audience; The CIDOC-CRM ontology is a standard for cultural heritage data modeling. Despite its large exploitation, the ontology is primarily maintained in a semi-formal notation, which makes it difficult to homogeneously exploit it in digital environments. In addition, the ontology consists of several classes and relations, whereas one sometimes wishes to reuse it but only partially. The purpose of the paper is to contribute to the use of CIDOC by strengthening its foundations. On the basis of formal ontology theories, we propose a first analysis of the ontology to enhance its conceptual structure. We also present a preliminary modularizat…

business.industryComputer scienceCIDOC-CRM0202 electrical engineering electronic engineering information engineering020206 networking & telecommunications020201 artificial intelligence & image processing02 engineering and technologySoftware engineeringbusinessOntological AnalysisModularization[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Digital selection of composite resin shade using cross polarized photography and a standardized white balance gray reference card

2021

Purpose The aim of the present case report was to describe, through a clinical case, a step-by-step technique, for the digital selection of composite resin shades using cross polarization and white balance employing a standardized reference card. Case Description After intraoral impression, a digital diagnostic wax up was developed. A 3D printed cast was used to fabricate a lingual polyvinyl siloxane matrix. First a cross-polarized image of the contralateral central incisor was taken in RAW format, using a gray reference card. The digital image was manipulated using this card as a reference, to obtain reliable color values. The obtained color values, from the contralateral central incisor, …

business.industryComputer scienceComposite numberPhotographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceCase ReportEsthetic DentistryImpressionDigital imagePolyvinyl siloxaneComputer visionArtificial intelligenceReference cardbusinessGeneral DentistryGray (horse)UNESCO:CIENCIAS MÉDICAS
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<title>Fast motion estimation based on spatio-temporal Gabor filters: parallel implementation on multi-DSP</title>

2000

The aim of our work is to implement a system of motion estimation in image sequences processing on DSP's: fast motion estimation based on Gabor spatio-temporal filters. Our approach consists to calculate optical flow using an energy-based method, named combined filtering which associates the energetic responses of Gabor spatio- temporal filters organized in triads. For this purpose, we applicate a technique developed by the Laboratory LIS in France, inspired from the architecture of Heeger. To reduce the computation time, we present also a parallel implementation of the algorithm on a multi-DSP architecture using SynDEx tool which is a programming environment to generate optimized distribut…

business.industryComputer scienceComputationComputer programmingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingGabor filterMotion estimationComputer visionArtificial intelligencebusinessDigital signal processingEnergy (signal processing)SPIE Proceedings
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Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

2008

Automated video surveillance applications require accurate separation of foreground and background image content. Cost-sensitive embedded platforms place real-time performance and efficiency demands on techniques to accomplish this task. In this chapter, we evaluate pixel-level foreground extraction techniques for a low-cost integrated surveillance system. We introduce a new adaptive background modeling technique, multimodal mean (MM), which balances accuracy, performance, and efficiency to meet embedded system requirements. Our evaluation compares several pixel-level foreground extraction techniques in terms of their computation and storage requirements, and functional accuracy for three r…

business.industryComputer scienceComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo sequenceMixture modelExecution timeReduction (complexity)Task (computing)Computer visionArtificial intelligenceREAL-TIME SURVEILLANCEbusinessBackground imageMM algorithm
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A reconfigurable architecture for autonomous visual-navigation

2003

This paper describes the design of a reconfigurable architecture for implementing image processing algorithms. This architecture is a pipeline of small identical processing elements that contain a programmable logic device (FPGA) and double port memories. This processing system has been adapted to accelerate the computation of differential algorithms. The log-polar vision selectively reduces the amount of data to be processed and simplifies several vision algorithms, making possible their implementation using few hard-ware resources. The reconfigurable architecture design has been devoted to implementation, and has been employed in an autonomous platform, which has power consumption, size a…

business.industryComputer scienceComputationPipeline (computing)Port (circuit theory)Computer Science ApplicationsProgrammable logic deviceHardware and ArchitectureEmbedded systemDigital image processingPattern recognition (psychology)Computer Vision and Pattern RecognitionArtificial intelligenceArchitecturebusinessField-programmable gate arraySoftwareComputer hardwareMachine Vision and Applications
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Automatic multi-seed detection for MR breast image segmentation

2017

In this paper an automatic multi-seed detection method for magnetic resonance (MR) breast image segmentation is presented. The proposed method consists of three steps: (1) pre-processing step to locate three regions of interest (axillary and sternal regions); (2) processing step to detect maximum concavity points for each region of interest; (3) breast image segmentation step. Traditional manual segmentation methods require radiological expertise and they usually are very tiring and time-consuming. The approach is fast because the multi-seed detection is based on geometric properties of the ROI. When the maximum concavity points of the breast regions have been detected, region growing and m…

business.industryComputer scienceComputer Science (all)Pattern recognitionImage segmentationGold standard (test)Breast MR030218 nuclear medicine & medical imagingTheoretical Computer Science03 medical and health sciencesSeed detection0302 clinical medicineRegion of interestRegion growing030220 oncology & carcinogenesisManual segmentationSegmentationSensitivity (control systems)Artificial intelligenceAutomatic segmentationMr imagesbusinessMaximum concavity point
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Directive local color transfer based on dynamic look-up table

2019

Abstract Color transfer in image processing usually suffers from misleading color mapping and loss of details. This paper presents a novel directive local color transfer method based on dynamic look-up table (D-DLT) to solve these problems in two steps. First, a directive mapping between the source and the reference image is established based on the salient detection and the color clusters to obtain directive color transfer intention. Then, dynamic look-up tables are created according to the color clusters to preserve the details, which can suppress pseudo contours and avoid detail loss. Subjective and objective assessments are presented to verify the feasibility and the availability of the…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559DirectiveLocal colorSalientTransfer (computing)Signal ProcessingColor mappingLookup table0202 electrical engineering electronic engineering information engineeringTable (database)020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareSignal Processing: Image Communication
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Benchmarking non-photorealistic rendering of portraits

2017

We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented results are representative. We give two levels of difficulty, each consisting of 20 images selected systematically so as to provide good coverage of several possible portrait characteristics. We applied three existing portrait-specific stylisation algorithms, two general-purpose stylisation algorithms, and one general learning based stylisation algorithm to the first level of the benchmark, corresponding to the type of constrained images that have often been used in portrait-s…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringImage processing02 engineering and technologyBenchmarkingMachine learningcomputer.software_genreNon-photorealistic renderingImage (mathematics)Set (abstract data type)0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Key (cryptography)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerAbstraction (linguistics)
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Use of the software ‘Poser4’ in reconstruction of accident and crime scenes

2000

The reconstruction of accident and crime scenes demands the full attention of the forensic working physician. Description by words is often difficult and liable to be misunderstood. Reconstruction in the original places of events are expensive and in some cases impossible. Computer graphics and animations give the possibility to construct the original course of events. Poser4 is a software package to perform these reconstructions in an easy and vivid way. We investigated the possibilities of reconstructing an accident with this software.

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONForensic MedicineSoftware packageBiomechanical PhenomenaPathology and Forensic MedicineVisualizationComputer graphicsAccident (fallacy)SoftwareHuman–computer interactionAccidentsComputer graphics (images)Computer GraphicsHumansCrime sceneComputer SimulationCrimebusinessConstruct (philosophy)LawSoftwareComputer animationComputingMethodologies_COMPUTERGRAPHICSForensic Science International
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Development of a fast panoramic face mosaicking and recognition system

2005

We present some development results on a system that per- forms mosaicking of panoramic faces. Our objective is to study the fea- sibility of panoramic face construction in real time. To do so, we built a simple acquisition system composed of five standard cameras, which together can take simultaneously five views of a face at different angles. Then, we chose an easily hardware-achievable algorithm, consisting of successive linear transformations, in order to compose a panoramic face from these five views. The method has been tested on a large number of faces. In order to validate our system, we also conducted a preliminary study on panoramic face recognition, based on the principal-compone…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringImage processingFacial recognition systemAtomic and Molecular Physics and OpticsExpression (mathematics)Computer graphics (images)Face (geometry)Development (differential geometry)Computer visionArtificial intelligencebusinessPanoramic photographyOptical Engineering
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