High level computer vision using OpenCV

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dc.contributor.authorMarengoni M.
dc.contributor.authorStringhini D.
dc.date.accessioned2024-03-13T01:09:39Z
dc.date.available2024-03-13T01:09:39Z
dc.date.issued2011
dc.description.abstractThis paper presents some more advanced topics in image processing and computer vision, such as Principal Components Analysis, Matching Techniques, Machine Learning Techniques, Tracking and Optical Flow and Parallel Computer Vision using CUDA. These concepts will be presented using the open CV library, which is a free computer vision library for C/C++ programmers available for Windows, Linux Mac OS and Android platforms. These topics will be covered considering not only theoretical aspects but practical examples will be presented in order to understand how and when to use each of them. © 2011 IEEE.
dc.description.firstpage11
dc.description.lastpage24
dc.identifier.doi10.1109/SIBGRAPI-T.2011.11
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36897
dc.relation.ispartofProceedings - 24th SIBGRAPI Conference on Graphics, Patterns, and Images Tutorials, SIBGRAPI-T 2011
dc.rightsAcesso Restrito
dc.subject.otherlanguagecomputer vision
dc.subject.otherlanguageopenCV
dc.subject.otherlanguageparallel computer vision
dc.subject.otherlanguagepattern recognition
dc.titleHigh level computer vision using OpenCV
dc.typeArtigo de evento
local.scopus.citations37
local.scopus.eid2-s2.0-82955165747
local.scopus.subjectComputer vision library
local.scopus.subjectHigh-level computer vision
local.scopus.subjectImage processing and computer vision
local.scopus.subjectMachine learning techniques
local.scopus.subjectMatching techniques
local.scopus.subjectopenCV
local.scopus.subjectParallel computer
local.scopus.subjectPrincipal components analysis
local.scopus.subjectTheoretical aspects
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=82955165747&origin=inward
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