An Automatic Method for Adjustment of a Camera Calibration Room
Ehsan Khoramshahi, Eija Honkavaara & Tomi Rosnell
Recent advancement in newly developed camera technologies such as multi-spectral sensors, multi-projective cameras, and surveying systems that contain the advanced camera technologies highlights the essence of developing new geometric and radiometric calibration methods. A valuable part of a calibration process is to access a rigid body with a priori known geometry, such as a calibration room. In this work the main focus will be on conceptual development of a calibration room, which consists of coded-target design, algorithm design for automatic CT detection, 3D network formation and bundle block adjustment. The final goal of this design is to make sure that the proposed approach is able to find robust estimation of the calibration room within a few minutes after a data measurement. In the first part of this article we demonstrate design phase of the coded-targets with criterions such as good visibility in a range of (10cm-4m), precise integrated scale, and ease of automatic detection, then a computer vision algorithm is proposed to detect the coded-targets. Next, 3D network formation by stereo pair analysis with normalized 8-point algorithm is discussed. Finally, camera calibration and geometric reconstruction of the new camera calibration room of the Finnish Geospatial Research Institute is demonstrated.
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