Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2008.4517715
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dc.titleExtracting age information from local spatially flexible patches
dc.contributor.authorYan, S.
dc.contributor.authorLiu, M.
dc.contributor.authorHuang, T.S.
dc.date.accessioned2014-06-19T03:10:10Z
dc.date.available2014-06-19T03:10:10Z
dc.date.issued2008
dc.identifier.citationYan, S.,Liu, M.,Huang, T.S. (2008). Extracting age information from local spatially flexible patches. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 737-740. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICASSP.2008.4517715" target="_blank">https://doi.org/10.1109/ICASSP.2008.4517715</a>
dc.identifier.isbn1424414849
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70268
dc.description.abstractMotivated by the fact that age information can often be observed from local evidence on the human face, we contribute to the age estimation problem in two aspects. On the one hand, we present a new feature descriptor, called spatially flexible patch (SFP), which encodes the local appearance and position information simultaneously. SFP has the potential to alleviate the problem of insufficient samples owing to that SFPs similar in appearance yet slightly different in position can still provide similar confidence for age estimation. One the other hand, the SFP associated with age label is modeled with Gaussian Mixture Model, and then age estimation is conducted by maximizing the sum of likelihoods from all the SFPs associated with the hypothetic age. Experiments are conducted on the YAMAHA database with 8,000 face images and ages ranging from 0 to 93. Compared with the latest reported results, our new algorithm brings encouraging reduction in mean absolute error for age estimation. ©2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICASSP.2008.4517715
dc.sourceScopus
dc.subjectAge estimation
dc.subjectGaussian mixture model
dc.subjectSpatially flexible patches
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICASSP.2008.4517715
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.page737-740
dc.description.codenIPROD
dc.identifier.isiutNOT_IN_WOS
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