Search results for " vision"

showing 10 items of 2709 documents

Unsupervised low-key image segmentation using curve evolution approach

2013

Low-key images widely exist in imaging-based systems such as space telescopes, medical imaging equipment, machine vision systems. Unsupervised low-key image segmentation is an important process for image analysis or digital measurement in these applications. In this paper, a novel active contour model with the probability density function (PDF) of gamma distribution for image segmentation is proposed. The flexible gamma distribution is used to describe both of the heterogeneous foreground and dark background in a low-key image. Besides, an unsupervised curve initialization method is also designed in this paper, which helps to accelerate the convergence speed of curve evolution. The effectiv…

Active contour modelbusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationInitializationPattern recognitionImage segmentationImage textureComputer Science::Computer Vision and Pattern RecognitionCurve fittingGamma distributionComputer visionArtificial intelligencebusinessMathematics2013 IEEE International Conference on Mechatronics (ICM)
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Remote sensing image segmentation by active queries

2012

Active learning deals with developing methods that select examples that may express data characteristics in a compact way. For remote sensing image segmentation, the selected samples are the most informative pixels in the image so that classifiers trained with reduced active datasets become faster and more robust. Strategies for intelligent sampling have been proposed with model-based heuristics aiming at the search of the most informative pixels to optimize model's performance. Unlike standard methods that concentrate on model optimization, here we propose a method inspired in the cluster assumption that holds in most of the remote sensing data. Starting from a complete hierarchical descri…

Active learningComputer scienceActive learning (machine learning)SvmMultispectral image0211 other engineering and technologies02 engineering and technologyMultispectral imageryClusteringMultispectral pattern recognitionArtificial Intelligence0202 electrical engineering electronic engineering information engineeringSegmentationCluster analysis021101 geological & geomatics engineeringRetrievalPixelbusiness.industryLinkageHyperspectral imagingPattern recognitionRemote sensingSupport vector machineMultiscale image segmentationHyperspectral imageryPixel ClassificationSignal Processing020201 artificial intelligence & image processingHyperspectral Data ClassificationComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmsSoftwareModel
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An architecture for autonomous agents exploiting conceptual representations

1998

An architecture for autonomous agents is proposed that integrates the functional and the behavioral approaches to robotics. The integration is based on the introduction of a conceptual level, linking together a subconceptual, behavioral, level, and a linguistic level, encompassing symbolic representation and data processing. The proposed architecture is described with reference to an experimental setup, in which the robot task is that of building a significant description of its working environment. © 1998 Elsevier Science B.V. All rights reserved.

Active visionConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHybrid processingRepresentation levelbusiness.industryComputer scienceGeneral MathematicsAutonomous agentComputer Science Applications1707 Computer Vision and Pattern RecognitionRoboticsComputer Science ApplicationsControl and Systems EngineeringApplications architectureSystems architectureMathematics (all)RobotArtificial intelligenceReference architectureArchitecturebusinessSoftware
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A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living

2015

This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies can improve the rate of disease prevention. Here we present different learning techniques for predicting abnormalities and behavioural trends in various user contexts. In this paper we described a Hidden Markov Model based approach for detecting abnormalities in daily activities, a process of identifying irregularity in routine behaviours from statistical histories and an exponential smoothing technique to predict future changes in various vital signs. The outcomes of t…

Activities of daily livingComputer scienceContext (language use)computer.software_genreMachine learningHidden Markov ModelArtificial IntelligencePattern recognitionHealth careCloud computingTrend detectionHidden Markov modelFuzzy ruleContext-awarebusiness.industryHealthcare[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringStatistical process control3. Good healthAmbient assisted livingRemote monitoringEldercareAnticipation (artificial intelligence)Signal ProcessingPattern recognition (psychology)Change detectionComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwareChange detectionPattern Recognition
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Data-based modeling of vehicle crash using adaptive neural-fuzzy inference system

2014

Vehicle crashes are considered to be events that are extremely complex to be analyzed from the mathematical point of view. In order to establish a mathematical model of a vehicle crash, one needs to consider various areas of research. For this reason, to simplify the analysis and improve the modeling process, in this paper, a novel adaptive neurofuzzy inference system (ANFIS-based) approach to reconstruct kinematics of colliding vehicles is presented. A typical five-layered ANFIS structure is trained to reproduce kinematics (acceleration, velocity, and displacement) of a vehicle involved in an oblique barrier collision. Subsequently, the same ANFIS structure is applied to simulate different…

Adaptive neuro fuzzy inference systemEngineeringVehicle crash reconstructionAdaptive neural-fuzzy inference system (ANFIS)-based prediction; Time-series analysis; Vehicle crash reconstruction; Vehicle dynamics modeling; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineeringbusiness.industryControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionKinematicsCollisionDisplacement (vector)Computer Science ApplicationsVehicle dynamicsAccelerationAdaptive neural-fuzzy inference system (ANFIS)-based predictionControl and Systems EngineeringTime-series analysisTime seriesElectrical and Electronic EngineeringbusinessReliability (statistics)Vehicle dynamics modeling
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Autostereoscopic Three-Dimensional Neuronavigation to the Sella: Technical Note.

2017

Background A drawback of conventional neuronavigation is the necessity of focusing on two-dimensional images in 3 planes at the same time to determine one's position in the operating field. A solution would be to merge the images into a single three-dimensional (3D) image that mirrors the actual anatomy. The introduction of holographic glassless 3D monitors paved the way to 3D navigation. We present our experience with 3D neuronavigation as exemplified by navigation to and within the sella. Methods Operative planning was conducted with a navigation system using cranial computed tomography and magnetic resonance imaging. The image data sets were processed by the prototype Clariti 3D system t…

AdenomaAdultMaleNeuronavigationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONsyncHolographyPilot Projects02 engineering and technology3D renderinglaw.invention03 medical and health sciences0302 clinical medicineImaging Three-DimensionallawAutostereoscopy0202 electrical engineering electronic engineering information engineeringMedicineHumansComputer visionPituitary NeoplasmsSella TurcicaLongitudinal StudiesNeuronavigationAgedAged 80 and overbusiness.industryNavigation system020207 software engineeringTechnical noteMiddle AgedNeuroendoscopySurgery Computer-AssistedSurgeryFemaleNeurology (clinical)Artificial intelligencebusiness030217 neurology & neurosurgeryWorld neurosurgery
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High-definition imaging in endoscopic transsphenoidal pituitary surgery.

2011

Background The transsphenoidal approach to sellar lesions has evolved enormously since its first description in the early 20th century. Endoscopic surgical strategies have become an integral part of the surgical armamentarium. More recently, high-definition (HD) digital cameras with better image resolution were introduced, although their value for the surgical procedure remains equivocal. The purpose of this study was to compare the image quality of a standard-definition (SD) camera with a new HD camera. Methods A transsphenoidal pituitary adenomectomy was recorded simultaneously in HD and SD resolution. Eight experienced neurosurgeons were asked to identify predefined as well as not predef…

Adenomamedicine.medical_specialtyQuality Assurance Health CareImage qualitymedicine.medical_treatmentVideo-Assisted SurgeryVideo qualityStatistical significanceSphenoid BonemedicineImmunology and AllergyHumansPituitary NeoplasmsHypophysectomymedicine.diagnostic_testbusiness.industryOrientation (computer vision)EndoscopySignal Processing Computer-AssistedGeneral MedicineMicrosurgeryImage EnhancementEndoscopyOtorhinolaryngologyEquipment and SuppliesVisual PerceptionRadiologyPituitary surgerybusinessQuality assuranceAmerican journal of rhinologyallergy
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Assessing the Relationship Between Attitudinal and Perceptual Component of Body Image Disturbance Using Virtual Reality

2018

Body image disturbance (BID) affects quality of life even in the absence of clinically diagnosable eating pathology, and numerous studies have shown its crucial role in the emergence and maintenance of eating disorders. This study aimed at exploring attitudinal and perceptual components of BID using a novel virtual reality (VR)-based paradigm. A community sample of women (N = 27) recreated in VR their perceived body in both an allocentric (third-person view) and egocentric (first-person view) perspective. Specifically, women were able to choose between a wide range of three-dimensional bodies spanning body mass index 12.5-42.5 kg/m2. Attitudinal indexes of BID (body dissatisfaction, body un…

Adult050103 clinical psychologybody size estimationSocial Psychologybody imagemedia_common.quotation_subjectPersonal SatisfactionVirtual realityallocentricBody image disturbance03 medical and health sciences0302 clinical medicineQuality of life (healthcare)Component (UML)PerceptionHumans0501 psychology and cognitive sciencesApplied Psychologymedia_commonCommunication05 social sciencesEating pathologybody image disturbanceComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineComputer Science ApplicationsHuman-Computer InteractionAttitudevirtual realityFemalePerceptionallocentric; body image; body image disturbance; body size estimation; virtual reality; Social Psychology; Communication; Applied Psychology; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern RecognitionPsychologyM-PSI/01 - PSICOLOGIA GENERALE030217 neurology & neurosurgeryCognitive psychology
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Corrective loops involved in fast aiming movements: effect of task and environment

1998

In daily living, we continuously interact with our environment. This environment is rarely stable and living beings show remarkable adaptive capacities. When we reach for an object, it is necessary to localize the position of this object with respect to our own body before programming an adequate arm movement. If the target remains stable, the programmed movement brings the hand near the target. However, what happens when the target suddenly jumps to another position in space? The aim of this work was to investigate how rapid aiming movements are corrected when the target is displaced close to movement onset. Our results reveal that rapid movements can be modified and that the efficiency of…

AdultComputer scienceMovementKinematicsEnvironmentFeedbackTask (project management)Reaction TimeHumansComputer visionKinesthesisAnalysis of VarianceCommunicationbusiness.industryMovement (music)General NeuroscienceWork (physics)Motor controlBody movementHandProprioceptionAdaptation PhysiologicalObject (philosophy)TrajectoryArtificial intelligencebusinessPsychomotor PerformanceExperimental Brain Research
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Can colours be used to segment words when reading?

2015

Rayner, Fischer, and Pollatsek (1998, Vision Research) demonstrated that reading unspaced text in Indo-European languages produces a substantial reading cost in word identification (as deduced from an increased word-frequency effect on target words embedded in the unspaced vs. spaced sentences) and in eye movement guidance (as deduced from landing sites closer to the beginning of the words in unspaced sentences). However, the addition of spaces between words comes with a cost: nearby words may fall outside high-acuity central vision, thus reducing the potential benefits of parafoveal processing. In the present experiment, we introduced a salient visual cue intended to facilitate the process…

AdultEye MovementsComputer sciencemedia_common.quotation_subjectSpeech recognitionExperimental and Cognitive PsychologyYoung AdultArts and Humanities (miscellaneous)Reading (process)Developmental and Educational PsychologyHumansmedia_commonCommunicationbusiness.industryText segmentationEye movementGeneral MedicineWord lists by frequencyPattern Recognition VisualReadingSalientWord recognitionCentral visionbusinessColor PerceptionWord (group theory)Acta Psychologica
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