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3D primitive reconstruction using the line segment with single image

Authors
Cho, S.-D.Ryoo, S.-T.Choi, T.-H.Yoon, K.-H.
Issue Date
Jun-2003
Publisher
SPRINGER-VERLAG BERLIN
Citation
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCA 2003, PT 3, PROCEEDINGS, v.2669, pp 539 - 548
Pages
10
Journal Title
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCA 2003, PT 3, PROCEEDINGS
Volume
2669
Start Page
539
End Page
548
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53135
DOI
10.1007/3-540-44842-x_55
ISSN
0302-9743
1611-3349
Abstract
This paper presents a 3-D reconstruction method IBM(image based modeling) of an image that does not contain any camera information. This system adopts a 3D reconstruction method based on a model. Model-based 3D reconstruction recovers an image using the geometric characteristics of a pre-defined polyhedron model. It uses a pre-defined polyhedron model as the primitive and the 3D reconstruction is processed by mapping the correspondence point of,the primitive model onto the picture image. Existing model-based 3D reconstruction methods were used for the reconstruction of camera parameters or error method through iteration. However, we proposed a method for a primitive model that uses the segment and the center of the segment for the reconstruction process. This method enables the reconstruction of the primitive model to be processed using the minimum camera parameters (e.g. focal length) during the segment reconstruction process.
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