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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/124003
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dc.titleVirtual try-on using kinect and HD camera
dc.contributor.authorGiovanni, S.
dc.contributor.authorChoi, Y.C.
dc.contributor.authorHuang, J.
dc.contributor.authorKhoo, E.T.
dc.contributor.authorYin, K.
dc.date.accessioned2016-05-17T10:45:15Z
dc.date.available2016-05-17T10:45:15Z
dc.date.issued2012
dc.identifier.citationGiovanni, S.,Choi, Y.C.,Huang, J.,Khoo, E.T.,Yin, K. (2012). Virtual try-on using kinect and HD camera. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7660 LNCS : 55-65. ScholarBank@NUS Repository.
dc.identifier.isbn9783642347092
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/124003
dc.description.abstractWe present a virtual try-on system - EON Interactive Mirror - that employs one Kinect sensor and one High-Definition (HD) Camera. We first overview the major technical components for the complete virtual try-on system. We then elaborate on several key challenges such as calibration between the Kinect and HD cameras, and shoulder height estimation for individual subjects. Quality of these steps is the key to achieving seamless try-on experience for users. We also present performance comparison of our system implemented on top of two skeletal tracking SDKs: OpenNI and Kinect for Windows SDK (KWSDK). Lastly, we discuss our experience in deploying the system in retail stores and some potential future improvements. © 2012 Springer-Verlag Berlin Heidelberg.
dc.sourceScopus
dc.subjectHD camera
dc.subjectKinect
dc.subjectKinect for Windows SDKAAAA
dc.subjectOpenNI
dc.subjectvirtual try-on
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7660 LNCS
dc.description.page55-65
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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