Scalable recognition and tracking for mobile augmented reality확장 가능한 인식과 추적 기술에 기반한 모바일 증강현실

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 697
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorYang, Hyun-Seung-
dc.contributor.advisor양현승-
dc.contributor.authorHa, Jae-Won-
dc.contributor.author하재원-
dc.date.accessioned2011-12-28T02:18:55Z-
dc.date.available2011-12-28T02:18:55Z-
dc.date.issued2011-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=467617&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/54258-
dc.description학위논문(석사) - 한국과학기술원 : 로봇공학학제전공, 2011.2, [ iv, 33 p. ]-
dc.description.abstractFor an augmented reality application to be realistic, exact tracking of target objects is essential. However, recent mobile augmented reality applications such as location or recognition-based applications lack realism in augmentation due to inexact tracking methods. Visual tracking based tracking is capable of being exact and robust, but in a mobile augmented reality system, the number of objects that can be augmented is far limited. In this paper, we propose a new framework that overcomes the limitations of the previous works. First, our framework is scalable to the number of objects being augmented. Second, our framework provides an improved and realistic augmentation by adopting a real-time accurate visual tracking method. To the best of our knowledge, there has been no system proposed successfully integrating both of these properties. To achieve scalability, the bag of visual words based recognition module with a large database runs on a remote server and the mobile phone tracks and augments the target object by itself. The server and mobile phone is connected by conventional Wi-Fi. Including network latency, our implementation takes 0.2 seconds for initiating an AR service on a 10,000 object database, which is fairly acceptable for a real-world augmented reality application.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectscalable recognition-
dc.subjectmobile phones-
dc.subjectMobile augmented reality-
dc.subjectvisual detection and tracking-
dc.subject시각 검출 및 추적-
dc.subject확장가능한 인식-
dc.subject모바일 폰-
dc.subject모바일 증강현실-
dc.titleScalable recognition and tracking for mobile augmented reality-
dc.title.alternative확장 가능한 인식과 추적 기술에 기반한 모바일 증강현실-
dc.typeThesis(Master)-
dc.identifier.CNRN467617/325007 -
dc.description.department한국과학기술원 : 로봇공학학제전공, -
dc.identifier.uid020093574-
dc.contributor.localauthorYang, Hyun-Seung-
dc.contributor.localauthor양현승-
Appears in Collection
RE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0