Search results for "GEP"

showing 10 items of 1017 documents

Issues and Future Developments of Infrared Thermography in Sports Science

2016

Although currently infrared thermography has a great number of applications in sports science, there are a number of different aspects that need to be investigated in order to improve the technique, the methodology, the analysis and to increase its application areas. In this chapter, we discuss the issues with and possible developments in infrared thermography in sport science, in order to facilitate future R&D.

Engineeringbusiness.industrySports scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSkin temperature030229 sport sciencesGeneralLiterature_MISCELLANEOUSConstruction engineering03 medical and health sciences0302 clinical medicineApplication areasOrder (business)Thermographybusiness030217 neurology & neurosurgery
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Multimodal user interface for a semi-robotic visual assistance system for image guided neurosurgery

2005

Abstract We developed a visual assistance system for image guided neurosurgery, consisting of a stereoscopic digital camera (exoscope) mounted on a semi-robotic manipulator. In order to minimize the operation time, the application-specific multimodal user interface enables hands-free manipulation of the exoscope. The surgeon wears thereby a head-mounted unit with a binocular display, a head tracker, a microphone and earphones. Different modes of view positioning and adjustment can be selected by voice and controlled by head rotation while pressing a miniature confirmation button mounted on a finger ring or suction device. Apart from the development of the mechatronic and software modules of…

Engineeringbusiness.product_categoryMicrophonebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical head-mounted displayStereoscopyGeneral MedicineVirtual realityMechatronicsImaging phantomlaw.inventionlawComputer visionArtificial intelligenceUser interfacebusinessSimulationDigital cameraInternational Congress Series
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Visual Behaviour Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

2012

For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehe…

EngineeringpolarizationVisual perceptionColor visionbusiness.industryVisionCognitive neuroscience of visual object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robotics02 engineering and technologyPolarization (waves)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 opticsCamouflageBio-inspired0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionVisual behaviourDetection theoryArtificial intelligencebusiness
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noRANSAC for fundamental matrix estimation

2011

The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry [10]. Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches [17] and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare diffe rent RANSAC-based methods because it does not re…

Evaluation strategyGround truthSettore INF/01 - Informaticabusiness.industryimage features epipolar geometry ransac fundamental matrix estimationEight-point algorithmEpipolar geometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage scaleRANSACOutlierComputer visionArtificial intelligencebusinessFundamental matrix (computer vision)AlgorithmMathematicsProcedings of the British Machine Vision Conference 2011
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Infrared image processing and its application to forest fire surveillance

2007

This paper describes an scheme for automatic forest surveillance. A complete system for forest fire detection is firstly presented although we focus on infrared image processing. The proposed scheme based on infrared image processing performs early detection of any fire threat. With the aim of determining the presence or absence of fire, the proposed algorithms performs the fusion of different detectors which exploit different expected characteristics of a real fire, like persistence and increase. Theoretical results and practical simulations are presented to corroborate the control of the system related with probability of false alarm (PFA). Probability of detection (PD) dependence on sign…

ExploitComputer scienceFire detectionbusiness.industryReal-time computingDetectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingStatistical powerInfrared image processingComputer visionArtificial intelligenceFalse alarmFocus (optics)business2007 IEEE Conference on Advanced Video and Signal Based Surveillance
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Automatic image representation for content-based access to personal photo album

2007

The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even if not reliable enough to address the general problem of content-based image retrieval, have been proven quite robust in a limited domain such as the one of personal photo album. In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different contexts (e.g. Beach, Public Garden, Indoor, Nature, Snow, City, etc...) we propose the use of automatic techniques borrowed from the fields of computer vision and pattern recognition to index imag…

Exploitbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Term (time)Domain (software engineering)Index (publishing)Pattern recognition (psychology)Computer visionArtificial intelligenceFace detectionbusinessImage retrieval
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A multiagent system approach for image segmentation using genetic algorithms and extremal optimization heuristics

2006

We propose a new distributed image segmentation algorithm structured as a multiagent system composed of a set of segmentation agents and a coordinator agent. Starting from its own initial image, each segmentation agent performs the iterated conditional modes method, known as ICM, in applications based on Markov random fields, to obtain a sub-optimal segmented image. The coordinator agent diversifies the initial images using the genetic crossover and mutation operators along with the extremal optimization local search. This combination increases the efficiency of our algorithm and ensures its convergence to an optimal segmentation as it is shown through some experimental results.

Extremal optimizationMathematical optimizationSegmentation-based object categorizationbusiness.industryMulti-agent systemCrossoverComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage segmentationComputingMethodologies_ARTIFICIALINTELLIGENCEComputer Science::Multiagent SystemsArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingSegmentationIterated conditional modesLocal search (optimization)Computer Vision and Pattern RecognitionbusinessAlgorithmSoftwareMathematicsPattern Recognition Letters
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RootsGLOH2: embedding RootSIFT 'square rooting' in sGLOH2

2020

This study introduces an extension of the shifting gradient local orientation histogram doubled (sGLOH2) local image descriptor inspired by RootSIFT ‘square rooting’ as a way to indirectly alter the matching distance used to compare the descriptor vectors. The extended descriptor, named RootsGLOH2, achieved the best results in terms of matching accuracy and robustness among the latest state-of-the-art non-deep descriptors in recent evaluation contests dealing with both planar and non-planar scenes. RootsGLOH2 also achieves a matching accuracy very close to that obtained by the best deep descriptors to date. Beside confirming that ‘square rooting’ has beneficial effects on sGLOH2 as it happe…

FEATURE EXTRACTIONLOCAL FEATUREComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformFEATURE MATCHING02 engineering and technologyRobustness (computer science)Euclidean geometryComputer Science::Multimedia0202 electrical engineering electronic engineering information engineeringBeneficial effectsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryImage matching020206 networking & telecommunicationsPattern recognitionCOMPUTER VISIONImage Matching Local Image Descriptors RootSIFT sGLOH2Computer Science::Computer Vision and Pattern RecognitionEmbedding020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareSquare rootingIMAGE MATCHING
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Remote sensing of sun-induced chlorophyll fluorescence at different scales

2014

In this contribution we present activities and selected results obtained in recent studies and campaigns conducted in the context of the FLuorescence EXplorer (FLEX) mission. FLEX is a candidate mission for the ESA 8th Earth Explorer and large efforts are currently dedicated to the development of an implementation scheme for an accurate mapping of fluorescence from the selected spaceborne sensor and mission configuration. Field and airborne data collected in different experimental campaigns, together with simulated data, have been used to demonstrate the feasibility of fluorescence retrievals and the potential of exploiting high spatial resolution fluorescence maps for a better understandin…

FLORISfield measurementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingContext (language use)Atmospheric modelFLEX missionGeneralLiterature_MISCELLANEOUSRemote sensing (archaeology)Simulated datafield measurementsHyPlantSun-induced chlorophyll fluorescenceHigh spatial resolutionEnvironmental scienceFLEXChlorophyll fluorescenceRemote sensing2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Polarimetric image augmentation

2021

Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation. On the other hand, these reflections are highly polarized and this extra information can successfully be used to segment the specular areas. In nature, polarized light is obtained by reflection or scattering. Deep Convolutional Neural Networks (DCNNs) have shown excellent segmentation results, but require a significant amount of data to achieve best performances. The lack of data is usually overcomed by using augmentation methods. However, unlike RGB images, polarization images are not only scalar (intensity) images and standard augmentation techniques cann…

FOS: Computer and information sciences0209 industrial biotechnologyAugmentation procedurebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Deep learningComputer Science - Computer Vision and Pattern RecognitionPolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyImage segmentationConvolutional neural networkData modeling[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligenceSpecular reflectionbusiness
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