Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACPR.2013.212
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dc.titleMagic mirror: An intelligent fashion recommendation system
dc.contributor.authorLiu, S.
dc.contributor.authorLiu, L.
dc.contributor.authorYan, S.
dc.date.accessioned2014-10-07T04:46:39Z
dc.date.available2014-10-07T04:46:39Z
dc.date.issued2013
dc.identifier.citationLiu, S., Liu, L., Yan, S. (2013). Magic mirror: An intelligent fashion recommendation system. Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 : 11-15. ScholarBank@NUS Repository. https://doi.org/10.1109/ACPR.2013.212
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83913
dc.description.abstractThis paper mainly introduces the techniques required for a future system, called Magic Mirror. Imagine when you wake up in the morning and prepare for the coming day, the Magic Mirror will automatically recommend to you the most appropriate styles of hair, makeup, and dressing, according to the events and activities on your calendar, with which it is linked, so that you can present yourself on these occasions with elegant and suitable appearance. The work shall focus on the mathematical models for these tasks, particularly on how to model the relations between low-level human body features, middle-level facial/body attributes, and high-level recommendations. Being automatic and intelligent are the two main characteristics of the system, and this work shall show two prototype sub-systems related with the whole Magic Mirror system. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ACPR.2013.212
dc.sourceScopus
dc.subjectClothing recommendation
dc.subjectMakeup recommendation
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ACPR.2013.212
dc.description.sourcetitleProceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
dc.description.page11-15
dc.identifier.isiut000339501000003
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