Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-69429-8_26
Title: Markerless augmented reality using a robust point transferring method
Authors: Ong, S.K. 
Yuan, M.L. 
Nee, A.Y.C. 
Keywords: Augmented reality
Nonlinear optimization
Point transferring
Issue Date: 2007
Source: Ong, S.K.,Yuan, M.L.,Nee, A.Y.C. (2007). Markerless augmented reality using a robust point transferring method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4352 LNCS (PART 2) : 258-268. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-69429-8_26
Abstract: This paper proposes a robust point transferring method for markerless AR applications. Using this method, any points specified at the initialization stage can be stably transferred during the augmentation process. These transferred points can be used for registration, annotation and video augmentation in markerless AR applications. This proposed point transferring method is based on a simple nonlinear optimization model. The proposed method has several advantages. Firstly, it is robust and stable as it remains effective when the camera is moved about quickly or when the scenes are largely occluded or filled with moving objects. Second, it is simple as the points that will be used for registration, annotation and video augmentation are only required to be specified in one image. Lastly, it is fast as the proposed simple optimization model can be solved quickly. Several experiments have been conducted to validate the performance of this proposed method. © Springer-Verlag Berlin Heidelberg 2007.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/73582
ISBN: 9783540694281
ISSN: 03029743
DOI: 10.1007/978-3-540-69429-8_26
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