Πλοήγηση ανά Θέμα "computer vision"
Αποτελέσματα 1-7 από 7
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Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
(2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Deep Endoscopic Visual Measurements
(2019)Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. ... -
Development and validation of a web-based reading test for normal and low vision patients
(2021)Purpose: To develop and validate a web-based reading test for normal and low vision patients. Methods: This is a prospective, comparative trial. The web-based Democritus Digital Acuity Reading Test (wDDART) was developed. ... -
A medical ontology for intelligent web-based skin lesions image retrieval
(2011)Researchers have applied increasing efforts towards providing formal computational frameworks to consolidate the plethora of concepts and relations used in the medical domain. In the domain of skin related diseases, the ... -
Orchard mapping with deep learning semantic segmentation
(2021)This study aimed to propose an approach for orchard trees segmentation using aerial images based on a deep learning convolutional neural network variant, namely the U-net network. The purpose was the automated detection ... -
Overview of Advanced Computer Vision Systems for Skin Lesions Characterization
(2009)During the last years, computer-vision-based diagnosis systems have been used in several hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and more specifically, the recognition of ... -
Volumetric food quantification using computer vision on a depth-sensing smartphone: Preclinical study
(2020)Background: Quantification of dietary intake is key to the prevention and management of numerous metabolic disorders. Conventional approaches are challenging, laborious, and lack accuracy. The recent advent of depth-sensing ...