期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 5
页码：560-564
出版社：Copernicus Publications
摘要：One of the practical impediments to the adoption of long focal length cameras in close-range photogrammetry is the difficulty in network exterior orientation and self-calibration that can be encountered with the collinearity equation model when the camera field of view is smaller than around 10 o . This paper reports on an investigation that examined two avenues for improving the self- calibration of long focal length cameras. The first makes use of orthogonal decomposition, and specifically the Singular Value Decomposition as a prospective means to better accommodate the ill-conditioned observation and normal equations of the bundle adjustment that arise for very narrow field of view images. The second is a re-examination of the linearization of the additional parameter model for self-calibration, and especially determination of the coefficients in the design matrix corresponding to the interior orientation parameters. Through the use of both simulated and real test networks, it is shown that while the adoption of numerical analysis tools that are better suited to ill-conditioned equation systems offer little benefit in practical terms, a simple extension of the generally adopted partial derivatives for principal point coordinates has a significant, positive impact on the stability and accuracy of the self-calibration of cameras with long focal length lenses. It is demonstrated that the proposed 'correction' to the functional model allows the stable recovery of calibration parameters for cameras with fields of view down to 3.5
关键词：Close-Range Photogrammetry; Automatic Camera Calibration; Long Focal Length Lenses; Self-Calibration
