Euclidean structure from confocal conics: Theory and application to camera calibration

Abstract

We propose confocal conics as a new planar pattern for camera calibration with poses. We show that confocal conics encode the metric information which can be easily extracted with their generalized eigen-values. The proposed method is tested with synthetic and real data, and shows comparable performances with conventional algorithms, while it still has all virtues of curved features. (C) 2010 Elsevier Inc. All rights reserved.