Search results for "mismatching"

showing 2 items of 2 documents

Improving point matching on multimodal images using distance and orientation automatic filtering

2016

International audience; Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the registration. Therefore, in this paper we introduce an efficient method devoted to the detection and removal of such outlier. It's based on an automatic filtering of outliers on both distance and orientation between features points. We tested our proposed method on a set of…

HistogramsComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingfeature point matchingRANSACElectronic mailautomatic outlier filteringHistogramautomatic orientation filteringhigh-nonlinear intensity[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringautomatic distance filteringOutlier detectionComputer visionIR visible imagesRobustnessmultimodal imagesUV imagesImage registrationimage filteringMeasurementbusiness.industryFeature matchingSURF020206 networking & telecommunicationsPoint set registrationPattern recognitionDetectorsdetected point mismatchingcultural heritagefluorescence imagesElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierspeed-up robust featuresFeature extraction020201 artificial intelligence & image processingAnomaly detectionArtificial intelligencebusiness
researchProduct

University Performance Before and During Economic Crises. An Analysis of Graduate Characteristics

2020

The aim of this book is to analyze the performance of some Italian universities during a pre-crisis period and an economic crisis period, on the basis of graduate characteristics and graduate placement statistics. The Electre model is used to produce eighteen university rankings according to three different scenarios (Neutral, University and Job), three different roles ascribed to the key criteria (overeducation and mismatching), and two years corresponding to two postgraduation placement sampling surveys carried out in a pre-crisis period (2006) and during a crisis period (2011). The eighteen rankings are based on Economics/Statistics and Political & Social Sciences graduates. The rank…

OvereducationUniversity performanceSettore SECS-S/05 - Statistica SocialeElectre modelmismatching
researchProduct