Search results for "methodologie"

showing 10 items of 2141 documents

Change-driven Image Architecture on FPGA with adaptive threshold for Optical-Flow Computation

2006

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed-up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The foundations of the change-dr…

Computer sciencebusiness.industryBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingImage segmentationMotion estimationDigital image processingComputer visionArtificial intelligencebusinessImage gradientComputer hardwareFeature detection (computer vision)2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
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A Structural $\mathcal{ SHOIN(D)}$ Ontology Model for Change Modelling

2013

This paper presents a complete structural ontology model suited for change modelling on \(\mathcal{ SHOIN(D)}\) ontologies. The application of this model is illustrated along the paper through the description of an ontology example inspired by the UOBM ontology benchmark and its evolution.

Computer sciencebusiness.industryComputer Science::Information RetrievalData_MISCELLANEOUS02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Ontology020201 artificial intelligence & image processingComputingMethodologies_GENERALArtificial intelligencebusinesscomputerNatural language processing
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OWL2: The Next Step for OWL

2008

Since achieving W3C recommendation status in 2004, the Web Ontology Language (OWL) has been successfully applied to many problems in computer science. Practical experience with OWL has been quite positive in general; however, it has also revealed room for improvement in several areas. We systematically analyze the identied short-comings of OWL, such as expressivity issues, problems with its syntaxes, and deficiencies in the definition of OWL species. Furthermore, we present an overview of OWL 2 -- an extension to and revision of OWL that is currently being developed within the W3C OWL Working Group. Many aspects of OWL have been thoroughly reengineered in OWL 2, thus producing a robust plat…

Computer sciencebusiness.industryComputingMethodologies_DOCUMENTANDTEXTPROCESSINGWeb Ontology LanguageInformationSystems_MISCELLANEOUSOntology languageSoftware engineeringbusinessComputingMethodologies_ARTIFICIALINTELLIGENCESemantic Webcomputercomputer.programming_languageSSRN Electronic Journal
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Using proximity and spatial homogeneity in neighbourhood-based classifiers

1997

In this paper, a set of neighbourhood-based classifiers are jointly used in order to select a more reliable neighbourhood of a given sample and take an appropriate decision about its class membership. The approaches introduced here make use of two concepts: proximity and symmetric placement of the samples.

Computer sciencebusiness.industryComputingMethodologies_GENERALData miningArtificial intelligenceSpatial homogeneitycomputer.software_genreMachine learningbusinesscomputerNeighbourhood (mathematics)
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An Optical Remote Sensor for Fingerprint Identification using Speckle Pattern

2017

The implementation of a simple, inexpensive optical device for remote fingerprint identification is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating a finger with a laser.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyLaserTracking (particle physics)law.inventionSpeckle pattern020210 optoelectronics & photonicsOptical sensinglaw0202 electrical engineering electronic engineering information engineeringBeam expanderComputer visionArtificial intelligenceSpeckle imagingbusinessLaser beamsRemote sensingConference on Lasers and Electro-Optics
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A combined analysis to extract objects in remote sensing images

1999

Abstract This paper describes an object recognition system to extract shape information from remote sensing images. One of the goals is to determine if towers and power lines can be seen on one-meter imagery and how much ground conditions can influence the resolution power of the recognition algorithms. To this end, an integrated analysis system has been implemented inside the Remote Sensing Imaging System (RSIS). The methodology consists in the combination of statistical and structural information. It has been tested on real images and it will be integrated in an automatic system for the assessment of post storm damage.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionMathematical morphologyReal imagePower (physics)Artificial IntelligenceRemote sensing (archaeology)Signal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareRemote sensingPattern Recognition Letters
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Bio-Inspired Polarization Vision Techniques for Robotics Applications

2015

Researchers have been inspired by nature to build the next generation of smart robots. Based on the mechanisms adopted by the animal kingdom, research teams have developed solutions to common problems that autonomous robots faced while performing basic tasks. Polarization-based behaviour is one of the most distinctive features of some species of the animal kingdom. Light polarization parameters significantly expand visual capabilities of autonomous robots. Polarization vision can be used for most tasks of color vision, like object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. In this chapter, the authors briefly cover polarization-based vis…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionRoboticsArtificial intelligencePolarization (waves)business
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Localization and Activity Classification of Unmanned Aerial Vehicle Using mmWave FMCW Radars

2021

In this article, we present a novel localization and activity classification method for aerial vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The localization and activity classification for aerial vehicle enables the utilization of mmWave Radars in security surveillance and privacy monitoring applications. In the proposed method, Radar’s antennas are oriented vertically to measure the elevation angle of arrival of the aerial vehicle from ground station. The height of the aerial vehicle and horizontal distance of the aerial vehicle from Radar station on ground are estimated using the measured radial range and the elevation angle of arrival. The aerial vehicle’s activ…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSConvolutional neural networklaw.inventionSupport vector machinelawActivity classificationChirpRange (statistics)Computer visionGradient boostingArtificial intelligenceElectrical and Electronic EngineeringRadarbusinessInstrumentationEdge computingIEEE Sensors Journal
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3D contour based local manual correction of tumor segmentations in CT scans

2009

Segmentation is an essential task in medical image analysis. For example measuring tumor growth in consecutive CT scans based on the volume of the tumor requires a good segmentation. Since manual segmentation takes too much time in clinical routine automatic segmentation algorithms are typically used. However there are always cases where an automatic segmentation fails to provide an acceptable segmentation for example due to low contrast, noise or structures of the same density lying close to the lesion. These erroneous segmentation masks need to be manually corrected. We present a novel method for fast three-dimensional local manual correction of segmentation masks. The user needs to draw …

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExtrapolationScale-space segmentationImage segmentationMedical imagingSegmentationComputer visionNoise (video)Artificial intelligencebusinessBlock-matching algorithmVolume (compression)SPIE Proceedings
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Augmentative Alternative Communication using Eyelid Movement Remote Detection by Speckle Patterns Tracking System for Amyotrophic Lateral Sclerosis D…

2017

The implementation of augmentative alternative communication optical device for ALS speech problem is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated when illuminating an eyelid with a laser.

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEye movementTracking systemmedicine.diseaseSpeckle patternmedicine.anatomical_structuremedicineComputer visionEyelidSpeckle imagingArtificial intelligenceImage sensorAmyotrophic lateral sclerosisbusinessAugmentativeOptics in the Life Sciences Congress
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