@incollection{LangSchlegl, author = {Lang, Jonas and Schlegl, Thomas}, title = {Camera-Projector Calibration - Methods, Influencing Factors and Evaluation Using a Robot and Structured-Light 3D Reconstruction}, series = {Intelligent Robotics and Applications}, volume = {9835}, booktitle = {Intelligent Robotics and Applications}, editor = {Kubota, Naoyuki and Kiguchi, Kazuo and Liu, Honghai and Obo, Takenori}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-43517-6}, doi = {10.1007/978-3-319-43518-3_40}, pages = {413 -- 427}, abstract = {As camera and projector hardware gets more and more affordable and software algorithms more sophisticated, the area of application for camera-projector configurations widens its scope. Unlike for sole camera calibration, only few comparative surveys for projector calibration methods exist. Therefore, in this paper, two readily available algorithms for the calibration of those arrays are studied and methods for the evaluation of the results are proposed. Additionally, statistical evaluations under consideration of different influencing factors like the hardware arrangement, the number of input images or the calibration target characteristics on the accuracy of the calibration results are performed. Ground truth comparison data is realized through a robotic system and structured light 3D scanning.}, language = {en} }