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Proceedings Paper

3D structure recovery from uncalibrated image sequence
Author(s): Dan Fu; Jian Zhou; Lichun Li; Heng Zhang; Qifeng Yu
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Paper Abstract

A new approach to recover 3D structure from the uncalibrated image sequence is presented. Unlike previous methods, the method recovers 3D models' initial values by enforcing the geometric constraints of the straight line in the scene and then gets accurate results by bundle adjustment. The focal length and the principal point of each camera are supposed to be unknown intrinsic parameters. The similarity invariance of the straight line that vertical straight line pairs in the scene keep vertical in similarity transformation are taken account of as a geometric constraint. A projective reconstruction performed by an iterative factorization algorithm is upgraded to a Euclidean one with the constraint. Bundle adjustment refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the ideal initial values from the method above. Experiments results on synthetic and real image sequences verified the new approach's precise and efficiency.

Paper Details

Date Published: 29 November 2007
PDF: 8 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68332Y (29 November 2007); doi: 10.1117/12.757747
Show Author Affiliations
Dan Fu, National Univ. of Defense Technology (China)
Jian Zhou, National Univ. of Defense Technology (China)
Lichun Li, National Univ. of Defense Technology (China)
Heng Zhang, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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