Enhancing face detection using Bayesian networks

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dc.contributor.authorCandido J.
dc.contributor.authorMarengoni M.
dc.date.accessioned2024-03-13T01:41:27Z
dc.date.available2024-03-13T01:41:27Z
dc.date.issued2006
dc.description.abstractFace detection has been an important research topic over the last 20 years. It is commonly used as a first step in face recognition and several techniques were applied in face detection, going from geometrical methods such as model matching to connectionist methods such as neural networks. This work presents a face detection system that uses a Bayesian Network to combine information from different computational cheap visual operators, and is part of an ongoing project that uses a Web Cam to perform a reliable and accurate eye tracking. The face detection is the first step in this project. The aim in this work is to show that combining simple features in a Bayesian Network it is possible to build an enhanced face detector system, increasing the detection rate and speeding up the face detection process.
dc.description.firstpage348
dc.description.lastpage353
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37734
dc.relation.ispartofProceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006
dc.rightsAcesso Restrito
dc.subject.otherlanguageBayesian networks
dc.subject.otherlanguageComputer vision
dc.subject.otherlanguageFace detection
dc.titleEnhancing face detection using Bayesian networks
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-56549128427
local.scopus.subjectAS models
local.scopus.subjectDetection rates
local.scopus.subjectFace detection
local.scopus.subjectFace detection systems
local.scopus.subjectFace detections
local.scopus.subjectFace detectors
local.scopus.subjectGeometrical methods
local.scopus.subjectResearch topics
local.scopus.subjectWeb cams
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=56549128427&origin=inward
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