Search results for "METHODOLOGIE"

showing 10 items of 2141 documents

The effect of texture on face identification and configural information processing

2014

Shape and texture are an integral part of face identity. In the present study, the importance of face texture for face identification and detection of configural manipulation (i.e., spatial relation among facial features) was examined by comparing grayscale face photographs (i.e., real faces) and line drawings of the same faces. Whereas real faces provide information about texture and shape of faces, line drawings are lacking texture cues. A change-detection task and a forced-choice identification task were used with both stimuli categories. Within the change detection task, participants had to decide whether the size of the eyes of two sequentially presented faces had changed or not. After…

Communicationbusiness.industryOrientation (computer vision)lcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInformation processingContext (language use)Pattern recognitionshapeTexture (music)lcsh:PsychologyFace perceptionFace (geometry)face perceptionface identificationArtificial intelligenceFace detectionPsychologybusinesstextureGeneral PsychologyChange detectionPsihologija
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An eye tracking comparison of external pointing cues and internal continuous cues in learning with complex animations

2010

Abstract Two experiments used eye tracking to investigate a novel cueing approach for directing learner attention to low salience, high relevance aspects of a complex animation. In the first experiment, comprehension of a piano mechanism animation containing spreading-colour cues was compared with comprehension obtained with arrow cues or no cues. Eye tracking data revealed differences in learner attention patterns between the different experimental conditions. The second experiment used eye tracking with synchronized and non-synchronized cues to investigate the role of dynamic direction of attention in cueing effectiveness. Results of Experiment 1 showed that spreading-colour cues resulted…

Communicationgenetic structuresbusiness.industrymedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEye movementCognitionAnimationCue-dependent forgettingEducationComprehensionInformationSystems_MODELSANDPRINCIPLESSalience (neuroscience)PerceptionDevelopmental and Educational PsychologyEye trackingPsychologybusinessCognitive psychologymedia_commonLearning and Instruction
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Data-Centric and Multimedia Components

2011

The content of XML documents is often primarily plain text, interspersed with various headers and perhaps some lists and tables. However, there are many applications for which the content of documents is not primarily narrative in nature, but instead includes (portions of) data records that are subject to storage and computational manipulation. The latter documents are sometimes referred to as data-centric or record-like, and they rely extensively on precise descriptions of the forms of data that can appear. In this chapter we first introduce the data type definition capabilities in XML Schema. We then consider the types of data very common in traditional databases: numeric data, dates, and…

Complex data typeMultimediaComputer sciencePlain textcomputer.internet_protocolSubject (documents)computer.file_formatcomputer.software_genreData typeDatabase-centric architectureComputingMethodologies_DOCUMENTANDTEXTPROCESSINGXML schemaGraphicscomputerXMLcomputer.programming_language
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Approximated overlap error for the evaluation of feature descriptors on 3D scenes

2013

This paper presents a new framework to evaluate feature descriptors on 3D datasets. The proposed method employs the approximated overlap error in order to conform with the reference planar evaluation case of the Oxford dataset based on the overlap error. The method takes into account not only the keypoint centre but also the feature shape and it does not require complex data setups, depth maps or an accurate camera calibration. Only a ground-truth fundamental matrix should be computed, so that the dataset can be freely extended by adding further images. The proposed approach is robust to false positives occurring in the evaluation process, which do not introduce any relevant changes in the …

Complex data typeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceGLOHEpipolar geometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognitionLIOPMROGHkeypoint descriptorSIFTepipolar geometryFalse positive paradoxComputer visionArtificial intelligencebusinessFundamental matrix (computer vision)descriptor evaluationCamera resectioning
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Approximation of piecewise smooth functions and images by edge-adapted (ENO-EA) nonlinear multiresolution techniques

2008

Abstract This paper introduces and analyzes new approximation procedures for bivariate functions. These procedures are based on an edge-adapted nonlinear reconstruction technique which is an intrinsically two-dimensional extension of the essentially non-oscillatory and subcell resolution techniques introduced in the one-dimensional setting by Harten and Osher. Edge-adapted reconstructions are tailored to piecewise smooth functions with geometrically smooth edge discontinuities, and are therefore attractive for applications such as image compression and shock computations. The local approximation order is investigated both in L p and in the Hausdorff distance between graphs. In particular, i…

ComputationApplied MathematicsMathematical analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONClassification of discontinuitiesNonlinear systemHausdorff distanceRate of convergenceCurveletPiecewiseApplied mathematicsComputingMethodologies_COMPUTERGRAPHICSImage compressionMathematicsApplied and Computational Harmonic Analysis
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Generic attribute deviation metric for assessing mesh simplification algorithm quality

2002

International audience; This paper describes an efficient method to compare two triangular meshes. Meshes considered here contain geometric features as well as other surface attributes such as material colors, texture, temperature, radiation, etc. Two deviation measurements are presented to assess the differences between two meshes. The first measurement, called geometric deviation, returns geometric differences. The second measurement , called attribute deviation, returns attribute differences regardless of the attribute type. In this paper we present an application of this method to the Mesh Simplification Algorithm (MSA) quality assessment according to the appearance attributes. This ass…

Computationmedia_common.quotation_subjectFeature extraction[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]02 engineering and technologySolid modeling[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Computer graphics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0202 electrical engineering electronic engineering information engineeringQuality (business)Polygon meshComputingMethodologies_COMPUTERGRAPHICSmedia_commonMathematicsbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionComputational geometry[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Metric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusinessAlgorithmProceedings. International Conference on Image Processing
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Seam Puckering Objective Evaluation Method for Sewing Process

2015

The paper presents an automated method for the assessment and classification of puckering defects detected during the preproduction control stage of the sewing machine or product inspection. In this respect, we have presented the possible causes and remedies of the wrinkle nonconformities. Subjective factors related to the control environment and operators during the seams evaluation can be reduced using an automated system whose operation is based on image processing. Our implementation involves spectral image analysis using Fourier transform and an unsupervised neural network, the Kohonen Map, employed to classify material specimens, the input images, into five discrete degrees of quality…

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computational Engineering Finance and Science
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RationalizeRoots: Software package for the rationalization of square roots

2020

The computation of Feynman integrals often involves square roots. One way to obtain a solution in terms of multiple polylogarithms is to rationalize these square roots by a suitable variable change. We present a program that can be used to find such transformations. After an introduction to the theoretical background, we explain in detail how to use the program in practice.

Computational PhysicsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONOtherInterdisciplinary sciences
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Use of wavelet for image processing in smart cameras with low hardware resources

2013

International audience; Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower compu…

Computational complexity theoryComputer scienceImage qualityEmbedded systemsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[SPI]Engineering Sciences [physics]WaveletDigital image processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer visionSmart cameraDWTDigital signal processingDenoisingDemosaicingbusiness.industry020202 computer hardware & architectureDemosaicingRecognitionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessWaveletSoftwareComputer hardware
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Low-Rate Reduced Complexity Image Compression using Directionlets

2006

The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional (1-D) discontinuities, like edges and contours, that are anisotropic and characterized by geometrical regularity along different directions. In our previous work, we proposed a construction of critically sampled perfect reconstruction anisotropic transform with directional vanishing moments (DVM) imposed in the corresponding basis functions, called directionlets. Here, we show that the computational complexity of our transform is comparable to the co…

Computational complexity theorybusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage codingWavelet transformPattern recognitionImage processingImage segmentationSparse approximationWavelet transformsWaveletData compressionImage reconstructionArtificial intelligencebusinessImage representationMathematicsImage compressionData compression2006 International Conference on Image Processing
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