Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/124003
Title: Virtual try-on using kinect and HD camera
Authors: Giovanni, S.
Choi, Y.C.
Huang, J.
Khoo, E.T.
Yin, K. 
Keywords: HD camera
Kinect
Kinect for Windows SDKAAAA
OpenNI
virtual try-on
Issue Date: 2012
Source: Giovanni, 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.
Abstract: We 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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/124003
ISBN: 9783642347092
ISSN: 03029743
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

9
checked on Jan 14, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.