Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 695-702, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-695-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Jun 2016
SYSTEMATIC CALIBRATION FOR A BACKPACKED SPHERICAL PHOTOGRAMMETRY IMAGING SYSTEM
J. Y. Rau, B. W. Su, K. W. Hsiao, and J. P. Jhan Department of Geomatics, National Cheng Kung University, Tainan, Taiwan
Keywords: Mobile Mapping System, Calibration, Spherical Photogrammetry Abstract. A spherical camera can observe the environment for almost 720 degrees’ field of view in one shoot, which is useful for augmented reality, environment documentation, or mobile mapping applications. This paper aims to develop a spherical photogrammetry imaging system for the purpose of 3D measurement through a backpacked mobile mapping system (MMS). The used equipment contains a Ladybug-5 spherical camera, a tactical grade positioning and orientation system (POS), i.e. SPAN-CPT, and an odometer, etc. This research aims to directly apply photogrammetric space intersection technique for 3D mapping from a spherical image stereo-pair. For this purpose, several systematic calibration procedures are required, including lens distortion calibration, relative orientation calibration, boresight calibration for direct georeferencing, and spherical image calibration. The lens distortion is serious on the ladybug-5 camera’s original 6 images. Meanwhile, for spherical image mosaicking from these original 6 images, we propose the use of their relative orientation and correct their lens distortion at the same time. However, the constructed spherical image still contains systematic error, which will reduce the 3D measurement accuracy. Later for direct georeferencing purpose, we need to establish a ground control field for boresight/lever-arm calibration. Then, we can apply the calibrated parameters to obtain the exterior orientation parameters (EOPs) of all spherical images. In the end, the 3D positioning accuracy after space intersection will be evaluated, including EOPs obtained by structure from motion method.
Conference paper (PDF, 1664 KB)


Citation: Rau, J. Y., Su, B. W., Hsiao, K. W., and Jhan, J. P.: SYSTEMATIC CALIBRATION FOR A BACKPACKED SPHERICAL PHOTOGRAMMETRY IMAGING SYSTEM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 695-702, https://doi.org/10.5194/isprs-archives-XLI-B1-695-2016, 2016.

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