Search results for "ComputingMethodologies_COMPUTERGRAPHICS"

showing 10 items of 306 documents

Entropy-based Localization of Textured Regions

2011

Appearance description is a relevant field in computer vision that enables object recognition in domains as re-identification, retrieval and classification. Important cues to describe appearance are colors and textures. However, in real cases, texture detection is challenging due to occlusions and to deformations of the clothing while person's pose changes. Moreover, in some cases, the processed images have a low resolution and methods at the state of the art for texture analysis are not appropriate. In this paper, we deal with the problem of localizing real textures for clothing description purposes, such as stripes and/or complex patterns. Our method uses the entropy of primitive distribu…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniTexture atlasComputer sciencebusiness.industryLocal binary patternsLow resolutionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionLatent Dirichlet allocationsymbols.namesakesymbolsEntropy (information theory)SegmentationComputer visionArtificial intelligencebusinessimage analysis textureComputingMethodologies_COMPUTERGRAPHICS
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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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A comparison of local parametric C0 Bézier interpolants for triangular meshes

2011

Parametric curved shape surface schemes interpolating vertices and normals of a given triangular mesh with arbitrary topology are widely used in computer graphics for gaming and real-time rendering due to their ability to effectively represent any surface of arbitrary genus. In this context, continuous curved shape surface schemes using only the information related to the triangle corresponding to the patch under construction, emerged as attractive solutions responding to the requirements of resource-limited hardware environments. In this paper we provide a unifying comparison of the local parametric C^0 curved shape schemes we are aware of, based on a reformulation of their original constr…

Shape propertiesGeneral EngineeringBézier curveTopologyComputer Graphics and Computer-Aided DesignC0 local parametric interpolantRendering (computer graphics)Human-Computer InteractionComputer graphicsMAT/08 - ANALISI NUMERICABézier triangleTriangle meshPolygon meshComputingMethodologies_COMPUTERGRAPHICSParametric statisticsMathematics
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Cubic Local Splines on Non-uniform Grid

2015

In this chapter, two types of local cubic splines on non-uniform grids are described: 1. The simplest variation-diminishing splines and 2. The quasi-interpolating splines. The splines are computed by a simple fast computational algorithms that utilizes a relation between the splines and cubic interpolation polynomials. Those splines can serve as an efficient tool for real-time signal processing. As an input, they use either clean or noised arbitrarily-spaced samples. On the other hand, the capability to adapt the grid to the structure of an object and minimal requirements to the operating memory are great advantages for off-line processing of signals and multidimensional data arrays.

Signal processingBox splineRelation (database)Computer scienceMathematicsofComputing_NUMERICALANALYSISMonotone cubic interpolationGridMathematics::Numerical AnalysisComputer Science::GraphicsSimple (abstract algebra)Bicubic interpolationSpline interpolationAlgorithmComputingMethodologies_COMPUTERGRAPHICS
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Real-time High Dynamic Range based on Multiple Non Destructive ReadOut during a Single Exposure

2017

This paper presents a new method based on Non Destructive Readout (NDRO) to improve multi-exposure High Dynamic Range (HDR) Imaging. A sequence of Low-Dynamic Range (LDR) images can then be acquired during a single exposure. The concept enables the latency between LDR images to be removed as well as the intrinsic ghost artifacts observed using state-of-art HDR systems based on multi-exposures. The method has been applied to improve the performances of HDR sensor based on logarithmic pixels. Using the NDRO method, a Short Wave InfraRed (SWIR) camera has been designed to produce HDR IR videos. A real-time HDR video stream generation is achieved based on GPU implantation.

Single exposurePixelbusiness.industryComputer science010401 analytical chemistryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciencesGeneralLiterature_MISCELLANEOUS0104 chemical sciences010309 opticsNon destructive0103 physical sciencesElectronic engineeringShort wave infraredComputer visionArtificial intelligenceSmart camerabusinessHigh dynamic rangeComputingMethodologies_COMPUTERGRAPHICSProceedings of the 11th International Conference on Distributed Smart Cameras
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Faster GPU-Accelerated Smith-Waterman Algorithm with Alignment Backtracking for Short DNA Sequences

2014

In this paper, we present a GPU-accelerated Smith-Waterman (SW) algorithm with Alignment Backtracking, called GSWAB, for short DNA sequences. This algorithm performs all-to-all pairwise alignments and retrieves optimal local alignments on CUDA-enabled GPUs. To facilitate fast alignment backtracking, we have investigated a tile-based SW implementation using the CUDA programming model. This tiled computing pattern enables us to more deeply explore the powerful compute capability of GPUs. We have evaluated the performance of GSWAB on a Kepler-based GeForce GTX Titan graphics card. The results show that GSWAB can achieve a performance of up to 56.8 GCUPS on large-scale datasets. Furthermore, ou…

Smith–Waterman algorithmCUDATitan (supercomputer)SpeedupComputer scienceBacktrackingParallel computingSoftware_PROGRAMMINGTECHNIQUESGraphicsDNA sequencingComputingMethodologies_COMPUTERGRAPHICS
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A new weighted normal-based filter for 3D mesh denoising

2018

In this paper, we propose a normal based filtering method for 3D mesh denoising. For this purpose, we compute the new triangle normal vectors by using a weighted sum of the average (smoothness) and the myriad (sharpness) filters in each neighborhood. These weights, that reflect the degree of the surface sharpness, are calculated according to the statistical distribution of the angles between the normal vectors of the triangles. The histogram of the angles between surface normal vectors is accurately fitted by the well known Cauchy distribution. Here, we justify the use of the myriad filter whose estimated value represents the optimum of the location parameter of the investigated distributio…

Smoothness (probability theory)Location parameter[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCauchy distribution020206 networking & telecommunications020207 software engineering02 engineering and technologyFilter (signal processing)Hausdorff distance[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingHistogram0202 electrical engineering electronic engineering information engineeringPolygon meshNormalAlgorithmComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSMathematics2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
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A new method for linear affine self-calibration of stationary zooming stereo cameras

2012

This paper presents a simple, yet effective, method to recover the affine structure of a scene from a (stereo) pair of stationary zooming cameras. The proposed method solely relies on point correspondences across images and no knowledge about the scene whatsoever is required. Our method exploits implicit properties of the projective camera matrices of zooming cameras and allows to estimate the affine structure of a scene by solving a linear system of equations. The 3D reconstruction results obtained by using our method, on both real and simulated data, have remarkably validated its feasibility.

Stereo camerasbusiness.industry3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionAffine shape adaptationComputer Science::GraphicsComputer Science::Computer Vision and Pattern RecognitionLinear algebraComputer visionAffine transformationArtificial intelligenceZoombusinessStereo cameraComputingMethodologies_COMPUTERGRAPHICSMathematics2012 19th IEEE International Conference on Image Processing
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HD-RTI: an adaptive multi-light imaging approach for the quality assessment of manufactured surfaces

2021

International audience; Reflectance Transformation Imaging (RTI) is a technique for estimating surface local angular reflectance from a set of stereo-photometric images captured with variable lighting directions. The digitization of this information fully fits into the industry 4.0 approach and makes it possible to characterize the visual properties of a surface. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. This coupling is carried out adaptively according to the response at each angle of illumination. The proposed method is applied to five industrial samples which have high local variations of reflectivity because of their heterogeneity of…

Surface (mathematics)0209 industrial biotechnologyGeneral Computer ScienceComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyMachine visionSet (abstract data type)020901 industrial engineering & automationQuality (physics)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRobustness (computer science)0202 electrical engineering electronic engineering information engineeringComputer visionComputingMethodologies_COMPUTERGRAPHICSCouplingbusiness.industryQuality assessmentGeneral Engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Variable (computer science)Quality inspection020201 artificial intelligence & image processingArtificial intelligenceMaterial AppearancebusinessPolynomial texture mapping
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Semi-Regular Triangle Remeshing: A Comprehensive Study

2014

Semi-regular triangle remeshing algorithms convert irregular surface meshes into semi-regular ones. Especially in the field of computer graphics, semi-regularity is an interesting property because it makes meshes highly suitable for multi-resolution analysis. In this paper, we survey the numerous remeshing algorithms that have been developed over the past two decades. We propose different classifications to give new and comprehensible insights into both existing methods and issues. We describe how considerable obstacles have already been overcome, and discuss promising perspectives.

Surface (mathematics)Computer graphicsProperty (programming)Computer scienceComputer graphics (images)Polygon meshComputer Graphics and Computer-Aided DesignField (computer science)ComputingMethodologies_COMPUTERGRAPHICSComputer Graphics Forum
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