Combining information in a Bayesian network for face detection

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dc.contributor.authorCandido J.
dc.contributor.authorMarengoni M.
dc.date.accessioned2024-03-13T01:35:41Z
dc.date.available2024-03-13T01:35:41Z
dc.date.issued2009
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 webcam 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 helps improving the performance in a face detector system, increasing the detection rate and speeding up the face detection process. © 2009, Brazilian Statistical Association. All rights reserved.
dc.description.firstpage179
dc.description.issuenumber2
dc.description.lastpage195
dc.description.volume23
dc.identifier.doi10.1214/08-BJPS021
dc.identifier.issn0103-0752
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37416
dc.relation.ispartofBrazilian Journal of Probability and Statistics
dc.rightsAcesso Aberto
dc.subject.otherlanguageBayesian networks
dc.subject.otherlanguageComputer vision
dc.subject.otherlanguageFace detection
dc.titleCombining information in a Bayesian network for face detection
dc.typeArtigo
local.scopus.citations1
local.scopus.eid2-s2.0-78650014147
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650014147&origin=inward
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