DocumentCode :
3028795
Title :
Detection of divided planar object for augmented reality applications
Author :
Nishizaka, Shinya ; Narumi, Takuji ; Tanikawa, Tomohiro ; Hirose, Michitaka
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
fYear :
2011
fDate :
19-23 March 2011
Firstpage :
267
Lastpage :
268
Abstract :
In this research study, we propose a divided planar-object detection method for augmented reality(AR) applications. The proposed system prepares a database of the target object´s natural features, and applies progressive sample consensus (PROSAC), which is a robust estimation method, for iterative homography calculation to achieve the multiple planar-object detection. Moreover, the proposed method can detect shapes of pieces by simultaneously using an occlusion detection method. We demonstrate that it is possible to interact with an arbitrarily divided planar object in real time by our method to implement some AR applications.
Keywords :
augmented reality; hidden feature removal; image reconstruction; iterative methods; object detection; augmented reality application; divided planar object detection method; estimation method; iterative homography calculation; occlusion detection method; progressive sample consensus; target object natural feature; Art; Databases; Estimation; Media; Real time systems; Three dimensional displays; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality Conference (VR), 2011 IEEE
Conference_Location :
Singapore
ISSN :
1087-8270
Print_ISBN :
978-1-4577-0039-2
Electronic_ISBN :
1087-8270
Type :
conf
DOI :
10.1109/VR.2011.5759501
Filename :
5759501
Link To Document :
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