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A Photogrammetric Network and Object Field Design for Efficient Self-Calibration of Non-metric Digital Cameras  

Oh Jae-Hong (한국전자통신연구원 텔레매틱스.USN연구단 공간정보연구팀)
Eo Yang-Dam (국방과학연구소)
Lee Chang-No (서울산업대학교 토목공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.24, no.3, 2006 , pp. 281-288 More about this Journal
Abstract
Recent increase in the number of pixels of a non-metric digital camera encourages to use it for close-range photogrammetry such as modeling cultural asset and buildings. However, these cameras have to be calibrated far close-range photogrammetry application. For self-calibration, an appropriate pbotograrnmetric network and object field should be designed. In this paper, we studied the effect on self-calibration accuracy changes according to the change of the number of ground control points, dimensions of the ground control points, and the combination of images. We concluded that self-calibration with three photos including a vertical photo can give the stable accuracy of interior orientation parameters and 10 ground control points on a plane can give high accuracy for object reconstruction.
Keywords
Close-range Photogrammetry; Camera Self-Calibration; Non-metric Camera; Calibration Site Configuration;
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