User-feedback and optimization for multi-view calibration

Abstract

Multi-view camera calibration is an essential task in the filed of 3D reconstruction which holds especially for immersive media applications like 3D videocommunication. Although the problem of multi-view calibration is basically solved, there is still space to improve the calibration process and to increase the accuracy during acquisition of calibration patterns. It is commonly known that robust and accurate calibration requires feature points that are equally distributed in 3D space covering the whole volume of interest. In this paper, we propose a user guided calibration based on a graphical user interface, which drastically simplifies the correct acquisition of calibration patterns. Based on an optimized selection of patterns and their corresponding feature points, the multi-view calibration becomes much faster in terms of data acquisition as well as computational effort by reaching the same accuracy with standard unguided acquisitions of calibration pattern.