Search results for "Transform"

showing 10 items of 3975 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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Object Classification Technique for mmWave FMCW Radars using Range-FFT Features

2021

In this article, we present a novel target classification technique by mmWave frequency modulated continuous wave (FMCW) Radars using the Machine Learning on raw data features obtained from range fast Fourier transform (FFT) plot. FFT plots are extracted from the measured raw data obtained with a Radar operating in the frequency range of 77- 81 GHz. The features such as peak, width, area, standard deviation, and range on range FFT plot peaks are extracted and fed to a machine learning model. Two light weight classification models such as Logistic Regression, Naive Bayes are explored to assess the performance. Based on the results, we demonstrate and achieve an accuracy of 86.9% using Logist…

business.industryComputer scienceFeature extractionFast Fourier transformCognitive neuroscience of visual object recognitionPattern recognitionPlot (graphics)law.inventionNaive Bayes classifierlawRange (statistics)Artificial intelligenceRadarbusinessFrequency modulation2021 International Conference on COMmunication Systems & NETworkS (COMSNETS)
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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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Randomized Hough Transform for Ellipse Detection with Result Clustering

2005

Our research is focused on the development of robust machine vision algorithms for pattern recognition. We want to provide robotic systems the ability to understand more on the external real world. In this paper, we describe a method for detecting ellipses in real world images using the randomized Hough transform with result clustering. A preprocessing phase is used in which real world images are transformed - noise reduction, greyscale transform, edge detection and final binarization - in order to be processed by the actual ellipse detector. The ellipse detector filters out false ellipses that may interfere with the final results. Due to the fact that usually more "virtual" ellipses are de…

business.industryComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionEllipseGrayscaleEdge detectionHough transformlaw.inventionRandomized Hough transformlawPattern recognition (psychology)Artificial intelligencebusinessCluster analysisEUROCON 2005 - The International Conference on "Computer as a Tool"
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Digital Risks. Case Study on Digitization Projects of the LBUS Library

2019

Abstract Digital technologies changed all the social life domains in society, as we are now living in the digital era, in the information society or in an interconnected world. Besides the improvements in every day life, digital changes also brought inherent risks, from cyber-security, hacking, cyber-bullying, to the vulnerability of personal data, or the mental health consequences of information explosion. This article reviews the risks of the changes brought by the digital transformation on libraries in general, with examples of the LBUS Library, drawing from the last 10 years of development experience of informatic book management systems (electronic catalogue) and of the digital library…

business.industryComputer scienceManagement systemDigital transformationVulnerabilityInformation societyPublic relationsbusinessMental healthDigitizationInformation explosionHackerInternational Journal of Advanced Statistics and IT&C for Economics and Life Sciences
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Three-dimensional object recognition by Fourier transform profilometry

2008

An automatic method for three-dimensional (3-D) shape recognition is proposed. It combines the Fourier transform profilometry technique with a real-time recognition setup such as the joint transform correlator (JTC). A grating is projected onto the object surface resulting in a distorted grating pattern. Since this pattern carries information about the depth and the shape of the object, their comparison provides a method for recognizing 3-D objects in real time. A two-cycle JTC is used for this purpose. Experimental results demonstrate the theory and show the utility of the new proposed method.

business.industryComputer scienceMaterials Science (miscellaneous)3D single-object recognitionShort-time Fourier transformCognitive neuroscience of visual object recognitionGratingIndustrial and Manufacturing Engineeringsymbols.namesakeFourier transformAutomatic target recognitionOpticsPattern recognition (psychology)symbolsBusiness and International ManagementbusinessHarmonic wavelet transformApplied Optics
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Simplified model of mean double step (MDS) in human body movement

2012

In this paper we present a simplified and useful model of the human body movement based on the full gait cycle description, called the Mean Double Step (MDS). It enables the parameterization and simplification of the human movement. Furthermore it allows a description of the gait cycle by providing standardized estimators to transform the gait cycle into a periodical movement process. Moreover the method of simplifying the MDS model and its compression are demonstrated. The simplification is achieved by reducing the number of bars of the spectrum and I or by reducing the number of samples describing the MDS both in terms of reducing their computational burden and their resources for the dat…

business.industryComputer scienceMovement (music)Compression (functional analysis)Computer data storageFast Fourier transformProcess (computing)EstimatorBody movementbusinessGait cycleAlgorithmSimulationSPIE Proceedings
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A damage identification procedure based on Hilbert transform: Experimental validation

2010

SUMMARY This paper aims at validating the feasibility of an identification procedure, based on the use of the Hilbert transform, by means of experimental tests for shear-type multi-degree-of-freedom systems. Particularly, a three-degree-of-freedom frame will be studied either numerically or experimentally by means of a laboratory scale model built at the laboratory of the Structural, Aerospace and Geotechnical Engineering Department (DISAG) of University of Palermo. Several damage scenarios have been considered to prove the effectiveness of the procedure. Moreover, the experimental tests have been conducted by considering two different input loads: pulse forces, simulated by means of an ins…

business.industryComputer scienceNoise (signal processing)Frame (networking)SIGNAL (programming language)incipient damageBuilding and ConstructionStructural engineeringHilbert transformIdentification (information)symbols.namesakeData acquisitionMechanics of MaterialssymbolsEarthquake shaking tableMinificationHilbert transformSettore ICAR/08 - Scienza Delle CostruzionibusinessAlgorithmanalytical signalCivil and Structural EngineeringStructural Control and Health Monitoring
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Flexible design of multifocal metalenses based on autofocused Airy beams

2018

Extreme miniaturization of on-demand optical devices such as ultrathin lenses is currently leading to significant advancements in manufacturing novel materials and nanotechnologies. Flexibility and tunability of engineered layouts enable efficient integration of complex photonic modules. In this regard, here we propose an autofocused Airy (AFA)-based metalens that operates, depending on the molded phase profile, as a multifocal focusing lens, which to the best of our knowledge has not been reported before. To do this, we call attention to the fact that the two conjugate focal points of an AFA beam can be brought into real space by applying a proper convex lens phase profile. Considering ful…

business.industryComputer sciencePhase (waves)Physics::OpticsStatistical and Nonlinear Physics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesRayAtomic and Molecular Physics and Opticslaw.invention010309 opticsLens (optics)symbols.namesakeCardinal pointOpticsFourier transformlaw0103 physical sciencesMiniaturizationsymbolsPhotonics0210 nano-technologybusinessBeam (structure)Journal of the Optical Society of America B
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Reconstruction Improvement in Integral Fourier Holography by Micro-Scanning Method

2015

Although integral holography has many promising advantages in the field of 3D imaging, the resolution of reconstructed holographic image is still limited by the insufficient information captured. To improve the reconstruction quality, an integral Fourier holographic imaging method based on micro-scanning of the micro-lens array is proposed in this paper. The micro-scanning of the micro-lens array can increase the sampling rate in spatial frequency domain and the information of the generated Fourier hologram, which will eventually eliminate the overlapping effect in the reconstructed 3D image. Experiments for different micro-scanning modes are carried out to verify the feasibility of the pro…

business.industryComputer scienceResolution (electron density)HolographyIterative reconstructionCondensed Matter PhysicsElectronic Optical and Magnetic Materialslaw.inventionsymbols.namesakeFourier transformOpticslawFrequency domainsymbolsComputer visionDigital holographic microscopySpatial frequencyArtificial intelligenceElectrical and Electronic EngineeringbusinessImage resolutionJournal of Display Technology
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