Search results for "GEP"

showing 10 items of 1017 documents

Fast Volumetric Reconstruction of Human Body through Superquadrics

2013

This paper describes a technique to reconstruct the volumes of the human body. For this purpose, are introduced mathematical objects able to represent 3d shapes, called super quadrics. These objects are positioned in the space according the captures made by a Microsoft Kinect device and are composed to represent the volumes of the human body. The employment of quaternions provides a relevant speedup for the rotation of the volumes and allows to follow the human movements in real time and reduced computational cost.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniquaternionsreconstructionQuadricComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONsuperquadricHuman bodyartificial intelligencehuman body scanningVolumetric reconstruction3D shape modellingComputer graphics (images)SuperquadricssuperellipsoidComputer visionArtificial intelligenceQuaternionbusinessRotation (mathematics)ComputingMethodologies_COMPUTERGRAPHICS2013 IEEE International Conference on Systems, Man, and Cybernetics
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Improving the performance of acousto-optic tunable filters in imaging applications

2010

Acousto-optic tunable filters (AOTFs) can be used as spectral filters for the implementation of multispectral imaging systems. However, obtaining quality images is challenging. In this work, we propose several improvements that enable the use of these systems in quantitative spectroscopic imaging applications. The improvements are based on three pillars: 1. a finer spectral bandpass shaping by dynamically optimizing the radio frequency (rf) driving signal, 2. an extensive calibration process, and 3. careful image preprocessing that uses calibration data to correct some well known AOTF issues in imaging applications. A novel multispectral imaging instrument is built using commercial off-the-…

Signal generatorComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingSignalAtomic and Molecular Physics and OpticsComputer Science ApplicationsBand-pass filterElectronic engineeringComputer visionArtificial intelligenceRadio frequencyElectrical and Electronic EngineeringbusinessOptical filterImage resolutionJournal of Electronic Imaging
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Adaptive motion estimation and video vector quantization based on spatiotemporal non-linearities of human perception

1997

The two main tasks of a video coding system are motion estimation and vector quantization of the signal. In this work a new splitting criterion to control the adaptive decomposition for the non-uniform optical flow estimation is exposed. Also, a novel bit allocation procedure is proposed for the quantization of the DCT transform of the video signal. These new approaches are founded on a perception model that reproduce the relative importance given by the human visual system to any location in the spatial frequency, temporal frequency and amplitude domain of the DCT transform. The experiments show that the proposed procedures behave better than their equivalent (fixed-block-size motion estim…

Signal processingAdaptive algorithmComputer sciencebusiness.industryTrellis quantizationQuantization (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVector quantizationIterative reconstructionOptical flow estimationMotion estimationComputer Science::MultimediaHuman visual system modelDiscrete cosine transformComputer visionArtificial intelligencebusinessQuantization (image processing)
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Algorithm To Calculate Heart Rate By Removing Touch Errors And Algorithm Analysis

2018

Heart rate is one of the important physiological parameter to measure the stability of the health. This study shows analysis of a proposed algorithm to calculate heart rate with miss touch errors to make it more efficient. Android Smart phone with good quality camera has come to reach of common people and has become one of the most necessary and powerful device for today and of course, for future generation. We can use its powerful features to solve or assess heart state monitoring through capturing necessary data in the form of image. Mobile camera has a photo emitting diode and a photo detector. Light source illuminates the tissue and photo-detector calculates the small intensity variatio…

Signal processingComputer science020208 electrical & electronic engineering010401 analytical chemistryFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetector02 engineering and technology01 natural sciencesWindow function0104 chemical sciences0202 electrical engineering electronic engineering information engineeringMATLABInfinite impulse responseAlgorithmcomputerHann functionSmoothingcomputer.programming_language2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)
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Depth-of-Field Enhancement in Integral Imaging by Selective Depth-Deconvolution

2014

One of the major drawbacks of the integral imaging technique is its limited depth of field. Such limitation is imposed by the numerical aperture of the microlenses. In this paper, we propose a method to extend the depth of field of integral imaging systems in the reconstruction stage. The method is based on the combination of deconvolution tools and depth filtering of each elemental image using disparity map information. We demonstrate our proposal presenting digital reconstructions of a 3-D scene focused at different depths with extended depth of field.

Signal processingIntegral imagingOptical diffractionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionÒpticaCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsNumerical apertureOpticsComputer visionDepth of fieldDeconvolutionArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessGeologyJournal of Display Technology
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Optical encryption with compressive ghost imaging

2011

Ghost imaging (GI) is a novel technique where the optical information of an object is encoded in the correlation of the intensity fluctuations of a light source. Computational GI (CGI) is a variant of the standard procedure that uses a single bucket detector. Recently, we proposed to use CGI to encrypt and transmit the object information to a remote party [1]. The optical encryption scheme shows compressibility and robustness to eavesdropping attacks. The reconstruction algorithm provides a relative low quality images and requires high acquisitions times. A procedure to overcome such limitations is to combine CGI with compressive sampling (CS), an advanced signal processing theory that expl…

Signal processingLight intensityCompressed sensingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingReconstruction algorithmIterative reconstructionGhost imagingEncryptionbusinessAlgorithm2011 Conference on Lasers and Electro-Optics Europe and 12th European Quantum Electronics Conference (CLEO EUROPE/EQEC)
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Continuous Refocusing for Integral Microscopy with Fourier Plane Recording

2018

Integral or light field imaging is an attractive approach in microscopy, as it allows to capture 3D samples in just one shot and explore them later through changing the focus on particular depth planes of interest. However, it requires a compromise between spatial and angular resolution on the 2D sensor recording the microscopic images. A particular setting called Fourier Integral Microscope (FIMic) allows maximizing the spatial resolution for the cost of reducing the angular one. In this work, we propose a technique, which aims at reconstructing the continuous light field from sparse FIMic measurements, thus providing the functionality of continuous refocus on any arbitrary depth plane. Ou…

Signal processingMicroscopebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstruction113 Computer and information scienceslaw.inventionLens (optics)symbols.namesakeOpticsFourier transformShearletlawMicroscopy0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingAngular resolutionbusinessImage resolutionLight field
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Phase error analysis of clipped waveforms in surface topography measurement using projected fringes

2021

Abstract When working with the method of projected fringes outside the optical laboratory one often encounters the problem of uncontrollable ambient light. This might cause saturation of the camera which in turn results in clipping of the fringes. Since standard theories describing phase-shifting techniques assume the projected fringes to be purely sinusoidal, such clipping will result in measurement error. In this paper a detailed analysis of this problem is given, and relations between phase errors, the amount of fringe clipping and the number of phase steps are found. Moreover, the phase difference between the clipped and the unclipped fringes is described. This investigation is based on…

Signal processingProjected fringesOptical metrology3-D measurementPhase (waves)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology01 natural sciencesGeneralLiterature_MISCELLANEOUS010309 opticssymbols.namesakeOpticsClipping (photography)0103 physical sciencesWaveformProfilometryElectrical and Electronic EngineeringPhysical and Theoretical ChemistryPhase shiftMathematicsSignal processingObservational errorbusiness.industryPhasorAstrophysics::Instrumentation and Methods for Astrophysics021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsFourier analysisPhasor diagramsElectronic Optical and Magnetic MaterialsVDP::Teknologi: 500Fourier transformFourier analysissymbols0210 nano-technologybusiness
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Progressive transmission of secured images with authentication using decompositions into monovariate functions

2014

International audience; We propose a progressive transmission approach of an image authenticated using an overlapping subimage that can be removed to restore the original image. Our approach is different from most visible water- marking approaches that allow one to later remove the watermark, because the mark is not directly introduced in the two-dimensional image space. Instead, it is rather applied to an equivalent monovariate representation of the image. Precisely, the approach is based on our progressive transmission approach that relies on a modified Kolmogorov spline network, and therefore inherits its advantages: resilience to packet losses during transmis- sion and support of hetero…

Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesImage encryption010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringDigital watermarkingImage resolutionMathematicsSignal processingAuthenticationNetwork packetbusiness.industryWatermarkAtomic and Molecular Physics and OpticsComputer Science ApplicationsSpline (mathematics)Binary dataKolmogorov superposition theorem020201 artificial intelligence & image processingArtificial intelligencebusinessVisible watermarking[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Energy balance in single exposure multispectral sensors

2013

International audience; Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation of typical sensor configurations.

SiliconMaterials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingoptical sensorsChannel (digital image)Equations[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetectorGaussian processes02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010309 opticssymbols.namesakeMathematical model[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringTransmittanceComputer Science::Networking and Internet ArchitectureSpectral and color filter arraysoptical filtersOptical filterGaussian processPhysics::Atmospheric and Oceanic Physics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRemote sensingtransmittance filterSubstratesSensorsGaussian modelmultispectral solid state sensorCamerasenergy balancespectral analysisConvolutionexposure multispectral sensorComputer Science::Computer Vision and Pattern Recognitionsubstrate absorptionlight absorptionlight sensorsymbolstransmittance filters020201 artificial intelligence & image processingGaussian network model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEnergy (signal processing)
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