Search results for "Image"

showing 10 items of 6818 documents

Robust auto calibration technique for stereo camera

2017

Calibration of the internal and external parameters of a stereo vision camera is a well-known research problem in the computer vision. Usually, to get accurate 3D results the camera should be manually calibrate accurately as well. This paper proposes a robust approach to Auto Calibration stereo camera Without intervention of the user. There are several methods and techniques of calibration that have been proven, in this work we exploiting the geometric constraint, namely, the epipolar geometry. We specifically focuses to use 7 techniques for Features Extraction (SURF, BRISK, FAST, FREAK, MinEigen, MSERF, SIFT), however tries to establish the correspondences between points extracted in stere…

business.industryComputer scienceEpipolar geometryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformRANSACStereopsisRobustness (computer science)Computer visionArtificial intelligenceFundamental matrix (computer vision)businessStereo camera2017 International Conference on Engineering & MIS (ICEMIS)
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On the use of LSPIV-based free software programs for the monitoring of river: testing the PIVlab and the FUDAA-LSPIV with synthetic and real image se…

2020

<p>The development of new image-based techniques is allowing a radical change in the environmental monitoring field. The fundamental characteristics of these methods are related to the possibility of obtaining non-intrusive measurements even in adverse circumstances, such as high flow conditions, which may seriously threaten the operators’ safety conditions in traditional approaches.</p><p>Optical techniques, based on the acquisition, analysis and elaboration of sequences of images acquired by digital cameras, are aimed at a complete characterization of the river instantaneous surface velocity field, through the analysis of a floating…

business.industryComputer scienceFUDAA-LSPIVSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLSPIVriver monitoringfield surveyReal imagePIVlabSoftwareynthetic image sequenceComputer visionArtificial intelligencebusiness
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Facial animation by reverse morphing on a sequence of real images: application to film and video production

2000

Research on facial animation is as vast as the many interests and needs that can be found in the general public, television or film production. For Mac Guff Ligne, a company specialized in the fabrication of special effects and computer generated images, the needs and the constraints on such a topic are very big. Morphing is often used in facial animation, and consists in mixing several expression models. As we will discover, the advantages in using morphing are numerous, but the animation workload remains long and time-consuming. Our goal is to propose a fast and reliable animation tool that is based on the same morphing technique with which the graphic artists are familiar. Our method is …

business.industryComputer scienceFacial motion captureComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAnimationMotion captureGeneralLiterature_MISCELLANEOUSComputer graphics (images)Interactive skeleton-driven simulationSkeletal animationComputer visionArtificial intelligenceElectrical and Electronic EngineeringPhysically based animationbusinessComputer facial animationComputer animationComputingMethodologies_COMPUTERGRAPHICSAnnales Des Télécommunications
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Features extraction on complex images

2005

The accessibility of inexpensive and powerful computers has allowed true digital holography to be used for industrial inspection using microscopy. This technique allows the capture of a complex image (i.e., one containing magnitude and phase), and the reconstruction of the phase and magnitude information. Digital holograms give a new dimension to texture analysis, since the topology information can be used as an additional way to extract features. This new technique can be used to extend previous work on the image segmentation of patterned wafers for defect detection. The paper presents a comparison between the features obtained using Gabor filtering on complex images under illumination and…

business.industryComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHolographyFilter (signal processing)Image segmentationIterative reconstructionlaw.inventionImage texturelawDigital holographic microscopyComputer visionArtificial intelligencebusinessDigital holographyFeature detection (computer vision)
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Distance-based relevance feedback using a hybrid interactive genetic algorithm for image retrieval

2011

Content-based image retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except the own content of the images, which is usually represented as a feature vector extracted from low-level descriptors. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and distance-based learning in an attempt to reduce the existing gap between the high level semantic content of the images and the information provided by their low-level descriptors. In particular, a framework which is independent from the particular features used is presented. The effect of different crossover strategies…

business.industryComputer scienceFeature vectorCrossoverComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRelevance feedbackInteractive evolutionary computationPattern recognitionEvolutionary computationGenetic algorithmVisual WordArtificial intelligencebusinessImage retrievalSoftwareApplied Soft Computing
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Improving distance based image retrieval using non-dominated sorting genetic algorithm

2015

Image retrieval is formulated as a multiobjective optimization problem.A multiobjective genetic algorithm is hybridized with distance based search.A parameter balances exploration (genetic search) or exploitation (nearest neighbors).Extensive comparative experimentation illustrate and assess the proposed methodology. Relevance feedback has been adopted as a standard in Content Based Image Retrieval (CBIR). One major difficulty that algorithms have to face is to achieve and adequate balance between the exploitation of already known areas of interest and the exploration of the feature space to find other relevant areas. In this paper, we evaluate different ways to combine two existing relevan…

business.industryComputer scienceFeature vectorSortingRelevance feedbackContext (language use)Machine learningcomputer.software_genreContent-based image retrievalMulti-objective optimizationArtificial IntelligenceSignal ProcessingGenetic algorithmComputer Vision and Pattern RecognitionData miningArtificial intelligencebusinessImage retrievalcomputerSoftwarePattern Recognition Letters
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Target tracking with dynamically adaptive correlation

2016

Abstract A reliable algorithm for target tracking based on dynamically adaptive correlation filtering is presented. The algorithm is capable of tracking with high accuracy the location of a target in an input video sequence without using an offline training process. The target is selected at the beginning of the algorithm. Afterwards, a composite correlation filter optimized for distortion tolerant pattern recognition is designed to recognize the target in the next frame. The filter is dynamically adapted to each frame using information of current and past scene observations. Results obtained with the proposed algorithm in synthetic and real-life video sequences, are analyzed and compared w…

business.industryComputer scienceFrame (networking)Process (computing)Tracking system02 engineering and technologyFilter (signal processing)Tracking (particle physics)01 natural sciencesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsOpticsDistortionVideo tracking0103 physical sciencesPattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessOptics Communications
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Application Of Anamorphic Systems To Directional Pseudocolor Encoding

1988

An optical nonsymmetrical imaging system composed of two anamorphic spectrum analyzers in cascade is implemented. This system can provide an undistorted final image in spite of the geometrical distortion effects in the intermediate Fourier plane. The introduction of chromatic sector filters in this plane provides a real-time technique to pseudocolor encode the spatial frequency information of a black-and-white transparency. In this way, greater discrimination is achieved in the angular orientation of object details that generate the same spatial frequencies. Experimental pseudocolored images, obtained with a symmetrical system and a nonsymmetrical system, of a black-and-white transparency a…

business.industryComputer scienceGeneral EngineeringImage processingAtomic and Molecular Physics and OpticsGeometric distortionsymbols.namesakeOpticsFourier transformDistortionsymbolsComputer visionArtificial intelligencebusinessColorimetryOptical Engineering
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Innovative modelling techniques in computer vision

1996

Abstract The paper is concerned with two of main research activities currently carried on at the Computer Science and Artificial Intelligence lab of DIE. The first part deals with hybrid artificial vision models, intended to provide object recognition and classification capabilities to an autonomous intelligen system. In this framework, a system recovering 3-D shape information from grey-level images of a scene, building a geometric representation of the scene in terms of superquadrics at the geometric level, and reasoning about the scene at the symbolic level is described. In the second part, attention is focused on automatic indexing of image databases. JACOB, a prototypal system allowing…

business.industryComputer scienceGeometric representationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionAstronomy and AstrophysicsImage (mathematics)Artificial visionSalientAutomatic indexingSuperquadricsComputer visionArtificial intelligencebusiness
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New Areas of Application of Comparable Corpora

2019

This chapter describes several approaches of using comparable corpora beyond the area of MT for under-resourced languages, which is the primary focus of the ACCURAT project. Section 7.1, which is based on Rapp and Zock (Automatic dictionary expansion using non-parallel corpora. In: A. Fink, B. Lausen, W. Seidel, & A. Ultsch (Eds.) Advances in Data Analysis, Data Handling and Business Intelligence. Proceedings of the 32nd Annual Meeting of the GfKl, 2008. Springer, Heidelberg, 2010), addresses the task of creating resources for bilingual dictionaries using a seed lexicon; Sect. 7.2 (based on Rapp et al., Identifying word translations from comparable documents without a seed lexicon. Proceedi…

business.industryComputer scienceGroup method of data handlingSection (typography)020207 software engineering02 engineering and technology[SCCO.LING]Cognitive science/LinguisticsLexiconcomputer.software_genreFocus (linguistics)Task (project management)[SCCO]Cognitive scienceBusiness intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Artificial intelligencebusinesscomputerComputingMilieux_MISCELLANEOUSNatural language processingWord (computer architecture)
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