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DC Field Value Language Lee, Sang-Heo ko Sohn, Myoung-Kyu ko Kim, Dong-Ju ko Kim, Hyunduk ko Ryu, Nuri ko 2018-01-25T01:18:22Z - 2018-01-25T01:18:22Z - 2017-05-08 - 2013 -
dc.identifier.citation 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013, pp.282 - 283 -
dc.identifier.isbn 9780000000000 -
dc.identifier.uri -
dc.description.abstract In this paper, we propose a novel head-pose estimation system for use with a large-scale screen to provide intelligent interaction with content. The head image of the user is captured from a RGB-D (red, green, blue pixel value, and depth data) camera connected to a large-scale display system. The head orientation of the user is then estimated from the RGB-D data by using the random regression forest algorithm. The random regression forest algorithm is a very powerful tool for generalization problems that does not suffer from overfitting. By using the head-pose estimation system, the user's region-of-interest (ROI) is found in a large-scale screen. After the ROI is found, various intelligent interactions with content can be possible. As future work, a hand gesture recognition system will be jointly connected with this head-pose estimation system in order to control the user's gestures more precisely in the ROI. © 2013 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Design and implementation of a head-pose estimation system used with large-scale screens -
dc.type Conference -
dc.identifier.doi 10.1109/GCCE.2013.6664827 -
dc.identifier.scopusid 2-s2.0-84892630278 -
dc.type.rims CONF -
dc.identifier.citationStartPage 282 -
dc.identifier.citationEndPage 283 -
dc.identifier.citationTitle 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013 -
dc.type.journalArticle Conference Paper -
dc.identifier.conferencecountry US -
dc.identifier.conferencelocation Tokyo -
dc.contributor.affiliatedAuthor Lee, Sang-Heo -
dc.contributor.affiliatedAuthor Sohn, Myoung-Kyu -
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Convergence Research Center for Future Automotive Technology 2. Conference Papers


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