NDLI: Detection of divided planar object for augmented reality applications

Content Provider	IEEE Xplore Digital Library
Author	Nishizaka, Shinya Narumi, Takuji Tanikawa, Tomohiro Hirose, Michitaka
Copyright Year	2011
Description	Author affiliation: Graduate School of Engineering, The University of Tokyo, Japan (Narumi, Takuji) \|\| Graduate School of Information Science and Technology, The University of Tokyo, Japan (Nishizaka, Shinya; Tanikawa, Tomohiro; Hirose, Michitaka)
Abstract	In this research study, we propose a divided planar-object detection method for augmented reality(AR) applications. There are mainly two types of camera-registration methods for AR applications: marker-based methods, and natural-feature-based methods. In addition, the latter methods are classified into visual SLAM and object detection methods. With respect to object detection methods, particularly for planar objects such as paper, methods for dealing with bending, folding, and occlusion are proposed. However, the division of objects has not been studied. Once an object is divided, a conventional object detection method cannot identify each of the pieces because the feature points of only a single piece are recognized as the target object, and the other feature points are regarded as outliers. 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.
Starting Page	231
Ending Page	232
File Size	531258
Page Count	2
File Format	PDF
ISBN	9781457700392
ISSN	10878270
e-ISBN	9781457700385
e-ISBN	9781457700378
DOI	10.1109/VR.2011.5759483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-19
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Estimation Feature extraction Real time systems Databases Target tracking Robustness
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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