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Proceedings Paper

Simplification of camera models without loss of precision
Author(s): Yang Shang; You Li; Yan He; Weihua Wang; Qifeng Yu
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Paper Abstract

Camera parameters' redundancy and actions on imaging process are analyzed based on central perspective projection model with nonlinear lens distortion. By assigning some parameters' values or their relations in advance, seven kinds of simplified camera models are presented. The simplified models' availability is validated by simulated data and engineering applications. By using the simplified camera models, methods and arithmetics of videogrammetry can be simplified without precision losses. The calculation becomes faster and stabler. The solving condition requirements are reduced. These characteristics make the precision-reserved simplified camera models availible for engineering applications.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892T (14 November 2007); doi: 10.1117/12.774755
Show Author Affiliations
Yang Shang, National Univ. of Defense Technology (China)
You Li, National Univ. of Defense Technology (China)
Yan He, National Univ. of Defense Technology (China)
Weihua Wang, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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