Search results for "GEP"

showing 10 items of 1017 documents

A Specialized Architecture for Color Image Edge Detection Based on Clifford Algebra

2013

Edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to ex…

Hardware architectureMultispectral MR images.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniColor histogramComputer scienceColor imagebusiness.industryColor image edge detectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFPGA prototypingApplication-specific processorColor quantizationEdge detectionConvolutionComputer Science::Hardware ArchitectureComputer Science::Computer Vision and Pattern RecognitionRGB color modelComputer visionArtificial intelligenceClifford algebrabusinessImage gradient
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Fully automatic, real-time detection of facial gestures from generic video

2005

A technique for the detection of facial gestures from low resolution video sequences is presented. The technique builds upon the automatic 3D head tracker formulation of [M. La Cascia et al., 2000]. The tracker is based on the registration of a texture-mapped cylindrical model. Facial gesture analysis is performed in the texture map by assuming that the residual registration error can be modeled as a linear combination of facial motion templates. Two formulations are proposed and tested. In one formulation, the head and facial motion are estimated in a single, combined linear system. In the other formulation, head motion and then facial motion are estimated in a two-step process. The two-st…

Head (linguistics)Computer sciencebusiness.industryLinear systemComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationMotion (physics)Image textureGesture recognitionComputer visionArtificial intelligencebusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICSGestureIEEE 6th Workshop on Multimedia Signal Processing, 2004.
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Fast, Reliable Head Tracking Under Varying Illumination

2003

An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's texture map image. To solve the registration problem in the presence of lighting variation and head motion, the residual error of registration is modeled as a linear combination of texture warping templates and orthogonal illumination templates. Fast and stable on-line tracking is then achieved via regularized weighted least squares minimization of the registration error. The regularization term tends to limit potential ambiguities that arise in the warping and illumination te…

Head trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryFeature extractionDetectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationRegularization (mathematics)Computer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceImage warpingbusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICS
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Head Tracking via Robust Registration in Texture Map Images.

1998

A novel method for 3D head tracking in the presence of large head rotations and facial expression changes is described. Tracking is formulated in terms of color image registration in the texture map of a 3D surface model. Model appearance is recursively updated via image mosaicking in the texture map as the head orientation varies. The resulting dynamic texture map provides a stabilized view of the face that can be used as input to many existing 2D techniques for face recognition, facial expressions analysis, lip reading, and eye tracking. Parameters are estimated via a robust minimization procedure; this provides robustness to occlusions, wrinkles, shadows and specular highlights. The syst…

Head trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFacial expressionbusiness.industryComputer scienceColor imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationFacial recognition systemRobustness (computer science)Motion estimationSpecular highlightEye trackingComputer visionArtificial intelligencebusinessTexture mappingComputingMethodologies_COMPUTERGRAPHICSData compression
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Estimating the Best Reference Homography for Planar Mosaics From Videos

2015

This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to…

Hierarchical mosaicingViewpoint computationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPlanarComputer graphics (images)Hierarchical Mosaicing Viewpoint Computation Underwater VisionComputer visionArtificial intelligenceUnderwater visionbusinessHomography (computer vision)
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Estimating the Number of Changepoints in Segmented Regression Models: Comparative Study and Application

2020

This paper deals with the problem of selecting the number of changepoints in segmented regression models. The aim is to review selection criteria, namely information criteria and hypothesis testing, and to propose a novel application in the context of students' careers in higher education. The performance of the selection criteria is assessed through simulation studies. Furthermore, we investigate the relationship between University students' performance and one of its main determinants, finding out that this relationship is actually broken-line.

Higher educationComputer sciencebusiness.industryContext (language use)Information CriteriaMachine learningcomputer.software_genreHypothesis testingSegmented regressionChangepointInformation criteriaHigher educationArtificial intelligenceSegmented regressionSettore SECS-S/01 - StatisticabusinesscomputerSelection (genetic algorithm)Statistical hypothesis testingSSRN Electronic Journal
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Improving point matching on multimodal images using distance and orientation automatic filtering

2016

International audience; Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the registration. Therefore, in this paper we introduce an efficient method devoted to the detection and removal of such outlier. It's based on an automatic filtering of outliers on both distance and orientation between features points. We tested our proposed method on a set of…

HistogramsComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingfeature point matchingRANSACElectronic mailautomatic outlier filteringHistogramautomatic orientation filteringhigh-nonlinear intensity[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringautomatic distance filteringOutlier detectionComputer visionIR visible imagesRobustnessmultimodal imagesUV imagesImage registrationimage filteringMeasurementbusiness.industryFeature matchingSURF020206 networking & telecommunicationsPoint set registrationPattern recognitionDetectorsdetected point mismatchingcultural heritagefluorescence imagesElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierspeed-up robust featuresFeature extraction020201 artificial intelligence & image processingAnomaly detectionArtificial intelligencebusiness
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A Brief History of Forensic Radiology

2019

During the last two decades, forensic radiology showed, as never before, a rapid, widely diffuse, and substantial change in the legal, medical, anthropological, archaeological, and scientific approach to applications of forensic radiology itself.

HistoryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONForensic radiologyLibrary scienceComputingMilieux_LEGALASPECTSOFCOMPUTINGsense organs
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Event legacy framework and measurement

2018

This article presents the development of a new approach for measuring mega sport event legacy and is based on the Olympic Games as a reference. The legacy of mega sport events has gained ever more ...

HistoryEvent (computing)05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMilieux_PERSONALCOMPUTING030229 sport sciencesMega-Data scienceGeneralLiterature_MISCELLANEOUS03 medical and health sciences0302 clinical medicineComputerApplications_MISCELLANEOUSTourism Leisure and Hospitality Management0502 economics and business050212 sport leisure & tourismSocial Sciences (miscellaneous)International Journal of Sport Policy and Politics
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A framework for vertex reconstruction in the ATLAS experiment at LHC

2010

In anticipation of the first LHC data to come, a considerable effort has been devoted to ensure the efficient reconstruction of vertices in the ATLAS detector. This includes the reconstruction of photon conversions, long lived particles, secondary vertices in jets as well as finding and fitting of primary vertices. The implementation of the corresponding algorithms requires a modular design based on the use of abstract interfaces and a common Event Data Model. An enhanced software framework addressing various physics applications of vertex reconstruction has been developed in the ATLAS experiment. Presented in this paper are the general principles of this framework. A particular emphasis is…

HistoryTheoretical computer scienceLarge Hadron Collider010308 nuclear & particles physicsComputer scienceAtlas detectorbusiness.industryATLAS experimentComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONModular designcomputer.software_genre01 natural sciencesComputer Science ApplicationsEducationComputational scienceVertex (geometry)Software frameworkEvent data0103 physical sciences010306 general physicsbusinesscomputerImplementationComputingMethodologies_COMPUTERGRAPHICSJournal of Physics: Conference Series
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