engleski

The impact of approximate camera calibration parameters on the accuracy of 3D-reconstruction

Spatial 3D-reconstruction applications today use mostly fully automated methods based on Structure from Motion (SfM) and Multi-View Stereo (MVS) algorithms. In these cases it is emphasized that the camera calibration parameters can be approximate, i.e. downloaded from EXIF data or even avoided, to facilitate the use of uncalibrated cameras in everyday measuring tasks. However, the accuracy of the spatial reconstruction of the model, recorded with an uncalibrated camera can be significantly reduced. Especially if the number of control points is limited, serving only to determine the correct model scale. Sometimes, the orientation points are entirely omitted (which is also allowed in the reconstruction procedure) making the determination of the proper model scale almost impossible. In this paper, the impact of the accuracy of the predetermined camera calibration parameters on the accuracy of 3D models will be explored and presented. The impact of different shooting arrangements as well as the influence of control points and control lengths will be analyzed to minimize the effects of insufficiently known initial camera calibration elements.

SfM ; MVS ; camera calibration ; 3D-reconstruction

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