Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Infrared pointer detection for interactive movies

Full metadata record
DC Field Value Language
dc.contributor.authorGao, L.-
dc.contributor.authorZhai, F.-
dc.contributor.authorLi, J.-
dc.contributor.authorSong, W.-
dc.contributor.authorZhang, F.-
dc.contributor.authorYe, F.-
dc.contributor.authorCho, K.-
dc.contributor.authorUm, K.-
dc.date.accessioned2024-08-08T04:01:27Z-
dc.date.available2024-08-08T04:01:27Z-
dc.date.issued2014-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/17626-
dc.description.abstractWith a variety of motion sensing equipments currently appearing, motion sensing games have become fashionable. The development of real-time, fluency, stability, and the users' sense of immersion is becoming more and more important. In this paper, a new target extraction and 3D point calibration method is presented and applied to a motion sensing shooting game in 4D movie. Compared to a traditional edge and contour detection method, the proposed method is more flexible, accurate, and has a higher real-time performance. © 2014 Springer-Verlag Berlin Heidelberg.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleInfrared pointer detection for interactive movies-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-3-642-55038-6_77-
dc.identifier.scopusid2-s2.0-84902387931-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.309 LNEE, pp 491 - 496-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume309 LNEE-
dc.citation.startPage491-
dc.citation.endPage496-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthor4D movie-
dc.subject.keywordAuthorCalibrate-
dc.subject.keywordAuthorMotion sensing-
dc.subject.keywordAuthorTarget extraction-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Cho, Kyung Eun photo

Cho, Kyung Eun
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE