Search results for "Computer Vision"

showing 10 items of 2353 documents

A Mlp-Based Digit And Uppercase Characters Recognition System

1997

A simple software solution for digit and uppercase handwritten characters recognition is presented. The proposed solution is based on a two-layer Multi Layer Perceptron (MLP) trained by a conjugate gradient descent (CGD) optimization algorithm. This neural network is embedded in a software tool for automatic processing of forms achieved using a scanner. The chosen solutions allow us to obtain good results both in terms of recognition rate and speed. In the paper are fully described design details and experimental results.

ScannerArtificial neural networkComputer sciencebusiness.industrySpeech recognitionNumerical digitComputingMethodologies_PATTERNRECOGNITIONSoftwareSimple (abstract algebra)Computer Science::Computer Vision and Pattern RecognitionMultilayer perceptronConjugate gradient methodLogical matrixbusiness
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Relationship between resolution and accuracy of four intraoral scanners in complete-arch impressions

2018

Background The scanner does not measure the dental surface continually. Instead, it generates a point cloud, and these points are then joined to form the scanned object. This approximation will depend on the number of points generated (resolution), which can lead to low accuracy (trueness and precision) when fewer points are obtained. The purpose of this study is to determine the resolution of four intraoral digital imaging systems and to demonstrate the relationship between accuracy and resolution of the intraoral scanner in impressions of a complete dental arch. Material and methods A master cast of the complete maxillary arch was prepared with different dental preparations. Using four di…

ScannerComputer sciencePoint cloud02 engineering and technology03 medical and health sciencessymbols.namesake0302 clinical medicineSoftware0202 electrical engineering electronic engineering information engineeringmedicineComputer visionGeneral DentistryProsthetic Dentistrybusiness.industryResearchResolution (electron density)Digital imaging030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Pearson product-moment correlation coefficientImpressionDental archmedicine.anatomical_structureUNESCO::CIENCIAS MÉDICASsymbols020201 artificial intelligence & image processingArtificial intelligencebusiness
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Towards a mean body for apparel design

2016

This paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures do not grow linearly, it is important to find prototypes to accurately represent each size. This is done using random compact mean sets, obtained from a cloud of 3D points given by a scanner and applying to the sample a previous definition of mean set. Additionally, two approaches to define confidence sets are introduced. The methodology is applied to data obtained from a real anthropometric survey. This paper has been partially supported by the following grants: TIN2009-14392…

ScannerComputer sciencePopulationCloud computingSample (statistics)02 engineering and technologycomputer.software_genre01 natural sciencesSet (abstract data type)010104 statistics & probabilityMean setAnthropometric surveyApparel design0202 electrical engineering electronic engineering information engineering0101 mathematicseducationeducation.field_of_studybusiness.industryConfidence setClothingSizingCompact spaceSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionData miningbusinesscomputerImage and Vision Computing
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Accuracy of four digital scanners according to scanning strategy in complete-arch impressions.

2018

STATEMENT OF PROBLEM:Although there are specific and general digital scanning guidelines depending on the system used, it is important to have the necessary flexibility in the acquisition of three-dimensional (3D) images to adapt to any clinical situation without affecting accuracy. PURPOSE:The purpose of this in vitro study was to identify and compare the scanning strategy with the greatest accuracy, in terms of trueness and precision, of four intraoral scanners in the impression of a complete dental arch. MATERIAL AND METHODS:Four digital scanners were evaluated with a 3D measuring software, using a highly accurate reference model obtained from an industrial scanner as a comparator. Four …

ScannerDental Impression TechniqueComputer sciencelcsh:Medicine02 engineering and technologyIn Vitro Techniques03 medical and health sciences0302 clinical medicineDental ArchImaging Three-DimensionalmedicineHumansComputer visionDental Impression TechniqueArchlcsh:ScienceMultidisciplinarybusiness.industryEpoxy Resinslcsh:RDigital imagingReproducibility of ResultsCorrection030206 dentistry021001 nanoscience & nanotechnologyDental archmedicine.anatomical_structurelcsh:QArtificial intelligence0210 nano-technologybusinessSoftwarePLoS ONE
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Experimental and Modeling Analyses of Human Motion Across the Static Magnetic Field of an MRI Scanner

2021

It is established that human movements in the vicinity of a permanent static magnetic field, such as those in magnetic resonance imaging (MRI) scanners induce electric fields in the human body; this raises potential severe risks of health to radiographers and cleaners exposed routinely to these fields in MRI rooms. The relevant directives and parameters, however, are based on theoretical models, and accurate studies on the simulation of the effects based on human movement data obtained in real conditions are still lacking. Two radiographers and one cleaner, familiar with MRI room activities and these directives, were gait analyzed during the execution of routine job motor tasks at different…

ScannerHistologyComputer scienceBiomedical EngineeringBioengineeringWorkspaceMotion (physics)030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineGait (human)Position (vector)medicineComputer visionstatic magnetic fieldsOriginal Researchmedicine.diagnostic_testbusiness.industryBioengineering and BiotechnologyCentroidMagnetic resonance imagingMagnetostaticsMRI personnel safetyexposure limit valuesArtificial intelligencebusinessDirective 2013/35/EU030217 neurology & neurosurgeryhuman movement analysisTP248.13-248.65BiotechnologyFrontiers in Bioengineering and Biotechnology
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Morphological Enhancement and Triangular Matching for Fingerprint Recognition

2008

Among the principal problems for realizing a robust Automated Fingerprint Identification System (AFIS) there are the images quality and matching algorithms. In this paper a fingerprint enhancement algorithm based on morphological filter and a triangular matching are introduced. The enhancement phase is based on tree steps: directional decomposition, morphological filter and composition. For the matching phase a global transformation to overcame the effects of rotation, displacement and deformation between acquired and stored fingerprint is performed using the number of similar triangular, having fingerprint minutiae as vertexes. The performance of the proposed approach has been evaluated on…

ScannerMatching (graph theory)business.industryComputer scienceFingerprint (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFingerprint Verification CompetitionPattern recognitionFingerprint recognitionAutomated Fingerprint Identification System (AFIS)Tree (data structure)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceAutomated fingerprint identificationbusinessRotation (mathematics)ComputingMethodologies_COMPUTERGRAPHICSComputer Science::Cryptography and Security
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Extraction of Airways from CT (EXACT'09)

2012

Contains fulltext : 107854.pdf (Publisher’s version ) (Open Access) This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantitatively evaluate fifteen different airway tree extraction algorithms in a standardized manner. Because of the sheer difficulty involved in manually constructing a complete reference standard from scratch, we propose to construct the reference using results from all algorithms that are to be evaluated. We start by subdividing each segmented airway tree into its individual branch segments. Each branch segment is then visually scored by trained observers to determine whether or not it is a correctly segmented part o…

Scanner[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingDatabases Factual[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingComputed tomographyAetiology screening and detection [ONCOL 5]02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imagingSet (abstract data type)03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringMedicineHumansComputer visionSegmentationElectrical and Electronic EngineeringLung[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingComputer. AutomationAnalysis of VarianceRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryPhysicsRangingImage segmentationComputer Science ApplicationsRadiographic Image EnhancementTrachea020201 artificial intelligence & image processingArtificial intelligenceTomographyAirwaybusinessTomography X-Ray ComputedEngineering sciences. TechnologyPoverty-related infectious diseases Aetiology screening and detection [N4i 3]Cardiovascular diseases Aetiology screening and detection [NCEBP 14][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftwareAlgorithms
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Registration of arbitrary multi-view 3D acquisitions

2013

International audience; To register 3D meshes representing smooth surfaces we track the 3D digitization system using photogrammetric techniques and calibrations. We present an example by digitizing a 800 mm x 600 mm portion of a car door. To increase the tracking accuracy the 3D scanner is placed in a cubic frame of side 0.5 m covered with 78 targets. The target frame moves in a volume that is approximately 1100 mm x 850 mm x 900 mm, to digitize the area of interest. Using four cameras this target frame is tracked with of an accuracy of 0.03 mm spatially and 0.180 mrad angularly. A registration accuracy between 0.1 mm and 2 mm is reached. This method can be used for the registration of mesh…

Scanner[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingGeneral Computer Science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyTracking (particle physics)01 natural sciences010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing3D imagingComputer graphics (images)0103 physical sciences0202 electrical engineering electronic engineering information engineeringPolygon meshComputer visionDigitization[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryClose-range photogrammetryTrack (disk drive)020208 electrical & electronic engineeringFrame (networking)General Engineering3D registrationPhotogrammetryMulti-view registrationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingVolume (compression)Computers in Industry
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A 3D Scanner for Transparent Glass

2009

Many practical tasks in industry, such as automatic inspection or robot vision, often require the scanning of three-dimensional shapes by use of non-contact techniques. However, few methods have been proposed to measure three-dimensional shapes of transparent objects because of the difficulty of dealing with transparency and specularity of the surface. This paper presents a 3D scanner for transparent glass objects based on Scanning From Heating (SFH), a new method that makes use of local surface heating and thermal imaging.

Scannerbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMeasure (physics)Transparency (human–computer interaction)T Technology (General)SpecularityThermalRobot visionComputer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS
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A gray-level 2D feature detector using circular statistics

1997

Abstract This paper presents a new method for corner and circular feature detection in gray-level images. It is based on the application of standard statistical techniques to the distribution of gradient orientations in a circular neighborhood of the prospective feature point. An evaluation using standard procedures and a comparison with other approaches is presented. Results show the robustness of this method as compared to the other corner detectors analyzed. The main novelties are the possibility of detecting points that are centers of circular symmetries, and discriminating between junctions, which are classified into corners (two-edge junctions) and multiple edge junctions.

Scene analysisbusiness.industryDetectorPattern recognitionImage segmentationGray levelArtificial IntelligenceRobustness (computer science)Signal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessFeature detectionSoftwareMathematicsPattern Recognition Letters
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