Search results for "landmark"

showing 10 items of 44 documents

Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks

2020

Landmark recognition and matching is a critical step in many Image Navigation and Registration (INR) models for geostationary satellite services, as well as to maintain the geometric quality assessment (GQA) in the instrument data processing chain of Earth observation satellites. Matching the landmark accurately is of paramount relevance, and the process can be strongly impacted by the cloud contamination of a given landmark. This paper introduces a complete pattern recognition methodology able to detect the presence of clouds over landmarks using Meteosat Second Generation (MSG) data. The methodology is based on the ensemble combination of dedicated support vector machines (SVMs) dependent…

FOS: Computer and information sciencesAtmospheric ScienceMatching (statistics)Computer Science - Machine LearningSource code010504 meteorology & atmospheric sciencesComputer scienceComputer Vision and Pattern Recognition (cs.CV)media_common.quotation_subjectMultispectral image0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computer Vision and Pattern RecognitionCloud computing02 engineering and technology01 natural sciencesMachine Learning (cs.LG)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonLandmarkbusiness.industryPattern recognitionSupport vector machinePattern recognition (psychology)Geostationary orbitArtificial intelligencebusiness
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Automatic landmark detection and 3D Face data extraction

2017

Abstract This paper contributes to 3D facial synthesis by presenting a novel method for parameterization using Landmark Point detection. The approach presented aims at improving facial recognition even in varying facial expressions, and missing data in 3D facial models. As such, the prime objective was to develop an automatically embedded process that can detect any frontal face in 3D face recognition systems, with face segmentation and surface curvature information. Using the hybrid interpolation method, experiments on facial landmarks were performed on 4950 images from Face Recognition Grand Challenge database (FRGC). Distinctive facial landmarks from the nose–tips, Limits mouth and two e…

Face hallucinationGeneral Computer ScienceComputer sciencebusiness.industry05 social sciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION050301 educationIterative closest pointPattern recognition02 engineering and technologyLandmark pointFace Recognition Grand ChallengeFacial recognition systemTheoretical Computer SciencePoint distribution modelModeling and Simulation0202 electrical engineering electronic engineering information engineeringThree-dimensional face recognition020201 artificial intelligence & image processingComputer visionArtificial intelligenceFace detectionbusiness0503 educationJournal of Computational Science
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A Random Extension for Discriminative Dimensionality Reduction and Metric Learning

2009

A recently proposed metric learning algorithm which enforces the optimal discrimination of the different classes is extended and empirically assessed using different kinds of publicly available data. The optimization problem is posed in terms of landmark points and then, a stochastic approach is followed in order to bypass some of the problems of the original algorithm. According to the results, both computational burden and generalization ability are improved while absolute performance results remain almost unchanged.

LandmarkOptimization problemDiscriminative modelbusiness.industryGeneralizationPopulation-based incremental learningDimensionality reductionMetric (mathematics)Pattern recognitionExtension (predicate logic)Artificial intelligencebusinessMathematics
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Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network

2020

Accurate registration of lung computed tomography (CT) image is a significant task in thorax image analysis. Recently deep learning-based medical image registration methods develop fast and achieve promising performance on accuracy and speed. However, most of them learned the deformation field through intensity similarity but ignored the importance of aligning anatomical landmarks (e.g., the branch points of airway and vessels). Accurate alignment of anatomical landmarks is essential for obtaining anatomically correct registration. In this work, we propose landmark constrained learning with a convolutional neural network (CNN) for lung CT registration. Experimental results of 40 lung 3D CT …

LandmarkSimilarity (geometry)medicine.diagnostic_testArtificial neural networkComputer sciencebusiness.industryDeep learningImage registrationComputed tomographyThoraxConvolutional neural network030218 nuclear medicine & medical imagingEuclidean distance03 medical and health sciences0302 clinical medicinemedicineComputer visionNeural Networks ComputerTomographyArtificial intelligenceTomography X-Ray ComputedbusinessLung030217 neurology & neurosurgery2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness.

2019

In this paper, we present a method for automated estimation of a human face given a skull remain. The proposed method is based on three statistical models. A volumetric (tetrahedral) skull model encoding the variations of different skulls, a surface head model encoding the head variations, and a dense statistic of facial soft tissue thickness (FSTT). All data are automatically derived from computed tomography (CT) head scans and optical face scans. In order to obtain a proper dense FSTT statistic, we register a skull model to each skull extracted from a CT scan and determine the FSTT value for each vertex of the skull model towards the associated extracted skin surface. The FSTT values at p…

MaleFOS: Computer and information sciencesDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Statistics as TopicComputer Science - Computer Vision and Pattern RecognitionSocial SciencesDiagnostic RadiologyMathematical and Statistical TechniquesImage Processing Computer-AssistedMedicine and Health SciencesMusculoskeletal SystemTomographyPrincipal Component AnalysisRadiology and ImagingStatisticsQRClinical Laboratory Sciences004Physical SciencesMedicineFemaleAnatomic LandmarksAnatomyResearch ArticleAdultBiometrySoft TissuesImaging TechniquesScienceNeuroimagingNoseResearch and Analysis MethodsDiagnostic MedicineHumansStatistical MethodsSkeletonForensicsSkullBiology and Life SciencesComputed Axial TomographyBiological TissueFaceMultivariate AnalysisForensic AnthropologyLaw and Legal SciencesTomography X-Ray ComputedHeadMathematicsNeurosciencePLoS ONE
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Representational Bias in the Radial Axis in Children With Dyslexia: A Landmarks Alignment Study.

2018

To better identify the distinctive characteristics of space representation in the radial dimension, we have proposed a new paradigm: the landmarks alignment task where two parallel aluminum bars were radially presented. Children had to move a landmark along one bar and place it at the same location as the reference landmark placed by the examiner on the parallel bar. The major interest of this task was its capacity to assess space representation in the radial dimension when considering a spatial landmark that oriented the subject’s attention toward the orthogonal dimension. The most important result showed that in the radial dimension children with dyslexia exhibited a forward bias on the …

MaleHealth (social science)Visual perceptionBar (music)Spatial abilitymedia_common.quotation_subjectEducationDyslexia03 medical and health sciencesPersonal Space0302 clinical medicineDimension (vector space)Orientation (geometry)Reading (process)medicineHumansAttentionChildmedia_commonLandmark05 social sciencesDyslexia050301 education030229 sport sciencesmedicine.diseaseSpace PerceptionGeneral Health ProfessionsFemalePsychology0503 educationCognitive psychologyJournal of learning disabilities
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A Proposal for Novel Standards of Histopathology Reporting for D3 Lymphadenectomy in Right Colon Cancer: The Mesocolic Sail and Superior Right Colic …

2020

Background Strong agreement exists concerning the standards of pathologic reporting for total mesorectal excision and complete mesocolic excision. It represents a quality standard that correlates with survival. However, no agreed standards of reporting are available to define D3 lymphadenectomy for right colectomy. Objective The purpose of this study was to define anatomopathological standards of specimen quality obtained from the surgical specimen when an oncologic right hemicolectomy with D3 lymphadenectomy has been correctly performed. Design This study was conducted in 2 different phases. The first part consisted of a cadaver-based study of right colon anatomy, and the second part consi…

Malemedicine.medical_specialtySurgical specimen03 medical and health sciencesMesenteric Veins0302 clinical medicineD3 lymphadenectomyCadaverHumansMedicineD3 lymphadenectomyProspective StudiesColectomyAgedNeoplasm StagingAged 80 and overNew quality standardsbusiness.industryRight colic veinGastroenterologyOutcome measuresGeneral MedicineMiddle AgedColon cancermedicine.anatomical_structureSpecimen QualityLymphatic Metastasis030220 oncology & carcinogenesisQuality standardColonic NeoplasmsRight ColectomyLymph Node ExcisionFemaleLaparoscopy030211 gastroenterology & hepatologyHistopathologyLymph NodesAnatomic LandmarksbusinessNuclear medicineFollow-Up StudiesDiseases of the Colon & Rectum
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Brain sensitivity to print emerges when children learn letter–speech sound correspondences

2010

The acquisition of reading skills is a major landmark process in a human's cognitive development. On the neural level, a new functional network develops during this time, as children typically learn to associate the well-known sounds of their spoken language with unfamiliar characters in alphabetic languages and finally access the meaning of written words, allowing for later reading. A critical component of the mature reading network located in the left occipito-temporal cortex, termed the “visual word-form system” (VWFS), exhibits print-sensitive activation in readers. When and how the sensitivity of the VWFS to print comes about remains an open question. In this study, we demonstrate the…

MultidisciplinaryLandmarkReading (process)media_common.quotation_subjectCognitive developmentSensitivity (control systems)Visual word form areaMeaning (linguistics)Cognitive psychologyAssociative learningSpoken languagemedia_commonProceedings of the National Academy of Sciences
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Landmark identification on direct digital versus film-based cephalometric radiographs: A human skull study

2002

The purpose of this study was to investigate differences in landmark identification on vertically scanned, direct digital and conventional (18 x 24 cm) cephalometric radiographs. Eight observers, all orthodontists or postgraduate orthodontic students, recorded 6 landmarks twice on 3 digital and 3 conventional cephalograms obtained from 3 human skulls in a standardized fashion. Digital images were displayed on a 15.1-in TFT monitor in 3:1 mode (20 x 26 cm). Recordings were transferred into standardized coordinate systems and evaluated separately for each coordinate. After correcting for magnification, precision was assessed with Maloney-Rastogi tests, and intraobserver and interobserver repr…

Observer VariationOrthodonticsLandmarkCephalometrybusiness.industryX-Ray FilmRadiographyReproducibility of ResultsMagnificationOrthodonticsContext (language use)Radiography Dental DigitalStatistics NonparametricDigital imageHuman skullmedicine.anatomical_structuremedicineHumansNasionComputer visionArtificial intelligencePosterior nasal spinebusinessMathematicsAmerican Journal of Orthodontics and Dentofacial Orthopedics
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Analyzing and organizing the sonic space of vocal imitations

2015

The sonic space that can be spanned with the voice is vast and complex and, therefore, it is difficult to organize and explore. In order to devise tools that facilitate sound design by vocal sketching we attempt at organizing a database of short excerpts of vocal imitations. By clustering the sound samples on a space whose dimensionality has been reduced to the two principal components, it is experimentally checked how meaningful the resulting clusters are for humans. Eventually, a representative of each cluster, chosen to be close to its centroid, may serve as a landmark in the exploration of the sound space, and vocal imitations may serve as proxies for synthetic sounds.

PCALandmarkSettore INF/01 - InformaticaComputer scienceSound designSpeech recognitionCentroidSpace (commercial competition)ClusteringLandmarkPrincipal component analysisVocal imitationsCluster analysisCurse of dimensionality
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