Search results for "Computer Vision"

showing 10 items of 2353 documents

The Brain’s Camera. Optimal Algorithms for Wiring the Eye to the Brain Shape How We See

2016

The problem of sending information at long distances, without significant attenuation and at a low cost, is common to both artificial and natural environments. In the brain, a widespread strategy to solve the cost-efficiency trade off in long distance communication is the presence of convergent pathways, or bottlenecks. In the visual system, for example, to preserve resolution, information is acquired by a first layer with a large number of neurons (the photoreceptors in the retina) and then compressed into a much smaller number of units in the output layer (the retinal ganglion cells), to send that information to the brain at the lowest possible metabolic cost. Recently, we found experimen…

RetinaComputer sciencebusiness.industryFunction (mathematics)Lateral geniculate nucleusRetinal ganglionmedicine.anatomical_structureRetinal ganglion cellReceptive fieldCortex (anatomy)Digital image processingmedicineComputer visionArtificial intelligencebusinessAlgorithm
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Visual motion integration controls attractiveness of objects in walking flies and a mobile robot

2008

Walking fruit flies are attracted by near-by objects. They estimate the distance to these objects by the parallax motion of their images on the retina. Here we provide evidence from robot simulations that distance is assessed by motion integration over large parts of the visual field and time periods of 0.5 s to 2 s. The process in flies is not selective to image motion created by the self-motion of the fly but also sensitive to object motion and to the pattern contrast of objects. Added visual motion (e.g. oscillations) makes objects more attractive than their stationary counterparts. Front-to-back motion, the natural parallax motion on the eyes of a forward-translating fly, is preferred. …

Retinabusiness.industryComputer scienceOrientation (computer vision)media_common.quotation_subjectMobile robotMotion (physics)Visual fieldmedicine.anatomical_structureMotion estimationComputer graphics (images)medicineRobotContrast (vision)Computer visionArtificial intelligencebusinessParallaxmedia_common2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
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Influence of the gaze-stabilizing eye movements on the quality of the retinal image of the human eye

2000

In this work we have studied the influence of the gaze stabilizing movements of the eye on the quality of the retinal image of the human eye obtained by double pass methods. The results obtained agree with the expected differences between the coherent and incoherent behaviour of the optical system of the eye. The movements-free retinal image is obtained from a typical retinal image by considering a filter function in the frequency domain which characterizes the effect of the considered movements.

Retinagenetic structuresbusiness.industryImage qualityComputer scienceEye movementGazeeye diseasesAtomic and Molecular Physics and OpticsRetinal correspondenceOpticsmedicine.anatomical_structureFrequency domainmedicineEye trackingComputer visionHuman eyesense organsArtificial intelligencebusinessJournal of Modern Optics
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Microaneurysm detection with radon transform-based classification on retina images.

2012

The creation of an automatic diabetic retinopathy screening system using retina cameras is currently receiving considerable interest in the medical imaging community. The detection of microaneurysms is a key element in this effort. In this work, we propose a new microaneurysms segmentation technique based on a novel application of the radon transform, which is able to identify these lesions without any previous knowledge of the retina morphological features and with minimal image preprocessing. The algorithm has been evaluated on the Retinopathy Online Challenge public dataset, and its performance compares with the best current techniques. The performance is particularly good at low false p…

Retinal ArteryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensitivity and SpecificityPattern Recognition AutomatedImage Interpretation Computer-AssistedmedicineMedical imagingPreprocessorHumansSegmentationComputer visionMicroaneurysmDiabetic RetinopathyContextual image classificationRadon transformbusiness.industryReproducibility of ResultsImage segmentationmedicine.diseaseImage EnhancementAneurysmArtificial intelligencebusinessAlgorithmsRetinopathyRetinoscopy
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Images perceived after chromatic or achromatic contrast sensitivity losses.

2010

Purpose. We simulate how subjects with losses in chromatic and achromatic contrast sensitivity perceive colored images by using the spatiochromatic corresponding pair algorithm. Methods. This is a generalized version of the algorithm by Capilla et al. (J Opt Soc Am (A) 2004;21:176 –186) for simulating color perception of color deviant subjects, which incorporates a simple spatial vision model, consisting of a linear filtering stage, with a band-pass achromatic filter and two low-pass chromatic ones, for the red-green and blue-yellow mechanisms. These filters, except for the global scaling, are the subject’s contrast sensitivity functions measured along the cardinal directions of the color s…

Retinal Ganglion CellsBrightnessgenetic structuresColor visionmedia_common.quotation_subjectModels NeurologicalCorresponding pair algorithmColor spaceChromatic and achromatic CSFslaw.inventionContrast SensitivitylawImages simulationContrast (vision)HumansComputer visionChromatic scaleSensitivity (control systems)LightingÓpticaMathematicsmedia_commonbusiness.industryDiabetesColorfulnessGlaucomaOphthalmologyPattern Recognition VisualAchromatic lensArtificial intelligencebusinessColor PerceptionMathematicsOptometryOptometry and vision science : official publication of the American Academy of Optometry
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Exudate Segmentation on Retinal Atlas Space

2013

International audience; Diabetic macular edema is characterized by hard exudates. Presence of such exudates cause vision loss in the affected areas. We present a novel approach of segmenting exudates for screening and follow-ups by building an ethnicity based statistical atlas. The chromatic distribution in such an atlas gives a good measure of probability of the pixels belonging to the healthy retinal pigments or to the abnormalities (like lesions, imaging artifacts etc.) in the retinal fundus image. Post-processing schemes are introduced in this paper for the enhancement of the edges of such exudates for final segmentation and to separate lesion from false positives. A sensitivity(recall)…

Retinal atlas02 engineering and technologyEdge detection03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineSegmentationComputer visionChromatic scaleRiesz transformPixelbusiness.industryAtlas (topology)RetinalImage segmentation[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]chemistry[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Exudate segmentation020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgery
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Nonnegative signal factorization with learnt instrument models for sound source separation in close-microphone recordings

2013

Close-microphone techniques are extensively employed in many live music recordings, allowing for interference rejection and reducing the amount of reverberation in the resulting instrument tracks. However, despite the use of directional microphones, the recorded tracks are not completely free from source interference, a problem which is commonly known as microphone leakage. While source separation methods are potentially a solution to this problem, few approaches take into account the huge amount of prior information available in this scenario. In fact, besides the special properties of close-microphone tracks, the knowledge on the number and type of instruments making up the mixture can al…

ReverberationInstruments musicalsComputer sciencebusiness.industryMicrophoneMúsica -- InformàticaSignalNon-negative matrix factorizationSet (abstract data type)FactorizationInterference (communication)Source separationComputer visionArtificial intelligenceMicròfonsbusinessEURASIP Journal on Advances in Signal Processing
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A modified moiré technique for three-dimensional surface topography

2002

In this paper we present an optical technique based on the shadow moire method which allows the measurement and digitization of three-dimensional surfaces. The technique was tested through experimental work and the results were compared with those obtained by a coordinate measuring machine. Moving from the conventional shadow moire method, new features were implemented enabling us to overcome the main shortcomings of the conventional moire method. These include the need to assign the fringe order, the incapability of discerning concavity or convexity, the poor resolution and the complexity in the signal processing. All these problems have been solved by adding an element to generate a carri…

Reverse engineeringSignal processingbusiness.industryComputer scienceApplied MathematicsMoiré patternCoordinate-measuring machinecomputer.software_genreSignalConvexitysymbols.namesakeOpticsFourier transformvisual_artvisual_art.visual_art_mediumsymbolsComputer visionArtificial intelligenceSheet metalbusinessInstrumentationEngineering (miscellaneous)computerMeasurement Science and Technology
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LA RICOSTRUZIONE 3D IN AMBITO ARCHEOLOGICO E POSSIBILE UTILIZZO NEL CAMPO DELLE INFRASTRUTTURE STRADALI: ANALISI DELLE POTENZIALITA' DELLE TECNICHE I…

2014

RilievoArcheologiaComputer VisionFotogrammetriaRicostruzione 3DSettore ICAR/06 - Topografia E Cartografia
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Computer vision-based approach for rite decryption in old societies

2015

International audience; This paper presents an approach to determine the spatial arrangement of bones of horses in an excavation site and perform the 3D reconstruction of the scene. The relative 3D positioning of the bones was computed exploiting the information in images acquired at different levels, and used to relocate provided 3D models of the bones. A novel semi-supervised approach was proposed to generate dense point clouds of the bones from sparse features. The point clouds were later matched with the given models using Iterative Closest Point (ICP).

RiteComputer sciencebusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]3D reconstructionFeature extraction[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Point cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative closest pointExcavationIterative reconstructionSolid modeling[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS
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