Search results for " pattern"

Spectral interest points and texture extraction and fusion for identification, control and security

2018

Biometrics is an emerging technology that proposes new methods of control, identification and security. Biometric systems are often subject to risks. Face recognition is popular and several existing approaches use images in the visible spectrum. These traditional systems operating in the visible spectrum suffer from several limitations due to changes in lighting, poses and facial expressions. The methodology presented in this thesis is based on multispectral facial recognition using infrared and visible imaging, to improve the performance of facial recognition and to overcome the deficiencies of the visible spectrum. The multispectral images used in this study are obtained by fusion of visi…

Non-linear RLS-based algorithm for pattern classification

2006

A new non-linear recursive least squares (RLS) algorithm is presented in the context of pattern classification problems. The algorithm incorporates the non-linearity of the filter's output in the updating rules of the classical RLS algorithm. The proposed method yields lower stationary error levels when compared to the standard LMS and RLS algorithms in a classical application of pattern classification, such as the channel equalization problem.

3D Reconstruction of Dynamic Vehicles using Sparse 3D-Laser-Scanner and 2D Image Fusion

2016

International audience; Map building becomes one of the most interesting research topic in computer vision field nowadays. To acquire accurate large 3D scene reconstructions, 3D laser scanners are recently developed and widely used. They produce accurate but sparse 3D point clouds of the environments. However, 3D reconstruction of rigidly moving objects along side with the large-scale 3D scene reconstruction is still lack of interest in many researches. To achieve a detailed object-level 3D reconstruction, a single scan of point cloud is insufficient due to their sparsity. For example, traditional Iterative Closest Point (ICP) registration technique or its variances are not accurate and rob…

Relationship between low Ankle-Brachial Index and rapid renal function decline in patients with atrial fibrillation: a prospective multicentre cohort…

2015

Objective: To investigate the relationship between Ankle-Brachial Index (ABI) and renal function progression in patients with atrial fibrillation (AF). Design: Observational prospective multicentre cohort study. Setting: Atherothrombosis Center of I Clinica Medica of 'Sapienza' University of Rome; Department of Medical and Surgical Sciences of University Magna Græcia of Catanzaro; Atrial Fibrillation Registry for Ankle-Brachial Index Prevalence Assessment-Collaborative Italian Study. Participants: 897 AF patients on treatment with vitamin K antagonists. Main outcome measures: The relationship between basal ABI and renal function progression, assessed by the estimated Glomerular Filtration R…

The stigma of low opioid prescription in the hospitalized multimorbid elderly in Italy.

2015

The primary aim of this study was to evaluate the prevalence of opioid prescriptions in hospitalized geriatric patients. Other aims were to evaluate factors associated with opioid prescription, and whether or not there was consistency between the presence of pain and prescription. Opioid prescriptions were gathered from the REgistro POliterapie Societa` Italiana di Medicina Interna (REPOSI) data for the years 2008, 2010 and 2012. 1,380 in-patients, 65+ years old, were enrolled in the first registry run, 1,332 in the second and 1,340 in the third. The prevalence of opioid prescription was calculated at hospital admission and discharge. In the third run of the registry, the degree of pain was…

COVID-19 pandemic, mechanical reperfusion and 30-day mortality in ST elevation myocardial infarction

2022

ObjectiveThe initial data of the International Study on Acute Coronary Syndromes - ST Elevation Myocardial Infarction COVID-19 showed in Europe a remarkable reduction in primary percutaneous coronary intervention procedures and higher in-hospital mortality during the initial phase of the pandemic as compared with the prepandemic period. The aim of the current study was to provide the final results of the registry, subsequently extended outside Europe with a larger inclusion period (up to June 2020) and longer follow-up (up to 30 days).MethodsThis is a retrospective multicentre registry in 109 high-volume primary percutaneous coronary intervention (PPCI) centres from Europe, Latin America, S…

Can planning be a research paradigm in architectural design?

1991

Abstract In the present paper we discuss the possible use of ‘planning’ ° to support architectural design. Architectural design is conceived as a process incorporating non-trivial subprocesses consisting of evolutionary sequences of drawings. The ‘planner’ can be viewed as a tool capable of managing the automatic development of formal descriptions of architectural objects, according to goals and constraints which are interactively assigned or removed by the designer. The main features of a ‘planner’ dedicated to architectural design are then put forward. The system has been implemented at the University of Ancona, Italy.

Translational Research in Thrombosis and Haemostasis.

2019

Subsequent Keyframe Generation for Visual Servoing

2021

International audience; In this paper, we study the problem of autonomous and reliable positioning of a camera w.r.t. an object when only this latter is known but not the rest of the scene. We propose to combine the advantages and efficiency of a visual servoing scheme and the generalization ability of a generative adversarial network. The paper describes how to efficiently create a synthetic dataset in order to train a network that predicts an intermediate visual keyframe between two images. Subsequent predictions are used as visual features to autonomously converge towards the desired pose even for large displacements. We show that the proposed method can be used without any prior knowled…

Multivariate statistical analysis for water demand modelling: implementation, performance analysis, and comparison with the PRP model

2015

Water demand is the driving force behind hydraulic dynamics in water distribution systems. Consequently, it is crucial to accurately estimate the actual water use to develop reliable simulation models. In this study, copula-based multivariate analysis was proposed and used for demand prediction for a given return period. The analysis was applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach produced consistent demand patterns and could be a powerful tool when coupled with water distribution network models for design or analysis problems. The results were compared with those obtained using a classical water demand model, the Poisson re…