Implicit Reconstruction by Zooming

This paper presents a new method for inferring 3D information using a static camera equipped with a zoom lens. The modeling algorithm does not require any explicit calibration model and the calculations involved are straightforward. This approach uses several images of accurate regular grids placed...

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Bibliographic Details
Published in:Computer vision and image understanding 1997-06, Vol.66 (3), p.301-315
Main Authors: Lavest, J.M., Delherm, C., Peuchot, B., Daucher, N.
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Learning and adaptive systems
Pattern recognition. Digital image processing. Computational geometry
Theoretical computing
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Summary:This paper presents a new method for inferring 3D information using a static camera equipped with a zoom lens. The modeling algorithm does not require any explicit calibration model and the calculations involved are straightforward. This approach uses several images of accurate regular grids placed on a micrometric table, as the calibration process. The basic idea is to compute a local transformation that allows the establishment of a relationship between a distorted grid detected on the CCD matrix and the real one located in front of the camera. This relationship takes automatically into account all distortion phenomena and allows one to obtain reconstruction results much more accurate than those of previous works in the same field. A complete experiment on real data is provided and shows that it is possible to compute 3D information from a zooming image set even if data are close to the optical axis.
ISSN:1077-3142
1090-235X
DOI:10.1006/cviu.1996.0511