14 November 2007 Simplification of camera models without loss of precision
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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892T (2007) https://doi.org/10.1117/12.774755
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
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Yang Shang, Yang Shang, You Li, You Li, Yan He, Yan He, Weihua Wang, Weihua Wang, Qifeng Yu, Qifeng Yu, } "Simplification of camera models without loss of precision", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892T (14 November 2007); doi: 10.1117/12.774755; https://doi.org/10.1117/12.774755
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