Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73973
Title: Tracking points using projective reconstruction for augmented reality
Authors: Ong, S.K. 
Yuan, M.L.
Nee, A.Y.C. 
Keywords: Augmented reality
Natural features
Projective reconstruction
Registration
Tracking
Issue Date: 2005
Source: Ong, S.K.,Yuan, M.L.,Nee, A.Y.C. (2005). Tracking points using projective reconstruction for augmented reality. Proceedings - GRAPHITE 2005 - 3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia : 421-424. ScholarBank@NUS Repository.
Abstract: Natural feature tracking is a popular research topic in computer vision and has been used in Augmented Reality (AR) applications. Current natural feature trackers have two major limitations in AR applications. Firstly, the natural features may be lost during the tracking process such that the annotations that are linked to these natural features will also be lost. Secondly, if the virtual objects have to be augmented on regions where there are no distinct natural features that can be tracked, the current natural feature cannot be used directly. This paper proposes a method for points tracking or transferring based on the Kanade-Lucas-Tomasi (KLT) feature tracker and the projective reconstruction technique. The points to be tracked include the lost natural features, and any points that are specified by the users. The proposed method is useful for AR applications, including scene annotation, registration, etc. Some indoor and outdoor experiments have been conducted to validate the performance of the proposed method. Copyright © 2005 by the Association for Computing Machinery, Inc.
Source Title: Proceedings - GRAPHITE 2005 - 3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia
URI: http://scholarbank.nus.edu.sg/handle/10635/73973
ISBN: 1595932267
Appears in Collections:Staff Publications

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