Dynamic And Accurate Image Feature Extraction for Camera calibration
Duration of the Thesis: 6 months
Completion: January 2018
Supervisors: Matthias Küver & Mehrdad Nekouei Shahraki (Robert Bosch GmbH)
Examiner: Prof. Dr.-Ing. Norbert Haala
The markers of the test field projected in the image plane have different distortion. Therefore marker extraction, which realized by template matching in the work, needs specific created masks making use of available 3D information of the test field and also the initial intrinsic/extrinsic parameters.
For the outlook of the thesis, it can be concluded that except marker extraction algorithm, other factors like local lens distortion, camera model modelling power as well as image quality should be further considered.