Camera calibration and 3D reconstruction using interval analysis

This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of an image point by an interval assumes an unknown but bounded localization. We present a new method based on interval analysis tools to propagate this bounded uncertainty. This way of computation can produce guaranteed results since a data is not the most probabilistic value but an interval which contains the true value. We validate our method by computing a guaranteed model for a projective camera, and we achieve a guaranteed 3D reconstruction.

• Type: Conference
• Year: 2003
• Where: ICIAP
• Authors: Benoît Telle, Marie-José Aldon, Nacim Ramdani
• Keywords: Guaranteed 3D Reconstruction, ICIAP 2003, Image Processing, Interval Analysis Tools, Probabilistic Value