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Conference Paper Image Sequence Augmentation Using Planar Structures
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Authors
Ju Wan Kim, Dong Keun Kim
Issue Date
2005-05
Citation
International Conference on Computational Science and Its Applications (ICCSA) 2005 (LNCS 3480), v.3480, pp.857-864
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11424758_88
Abstract
In this paper, we present an image sequence augmentation that easily estimates camera parameters using a planar structure visible in an image sequence and superimposes 3D virtual objects on it. After constructing a virtual 3D model plane from the planar structure, we compute camera parameters recursively using the image of the absolute conic. Experimental results using simulated data and real data confirm that the proposed method is of clearly superior quality compared to that of traditional methods and performs better than existing ones. Our approach does not require any a priori information about the camera being used and metric coordinates in the scene. And the planar structure greatly simplifies the coordinate-system alignment problem, so the proposed method can easily be applied to cases where there is a planar surface visible somewhere in an image sequence and highest accuracy is not demanded. © Springer-Verlag Berlin Heidelberg 2005.
KSP Keywords
3d model, Absolute conic, Alignment problem, Image sequence, Model plane, Real data, Simulated data, Traditional methods, camera parameters, planar structure, planar surface