Title

Calibrating Freely Moving Cameras

Abstract

We present a novel practical method for self-calibrating a camera which may move freely in space while changing it internal parameters by zooming. We show that point correspondences between a pair of images, and the fundamental matrix computed from these point correspondences, are sufficient to recover the internal parameters of a camera. Unlike other methods, no calibration object with known 3-D shape is required and no limitation are put on the unknown motion, as long as the camera is projective. The main contribution of this paper is development of a global linear solution which is based on the well-known Kruppa equations. We introduce a formulation different from the Huang and Faugeras constraints. The method has been extensively tested on synthetic and real data and promising results are reported. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

Proceedings - International Conference on Pattern Recognition

Volume

4

Number of Pages

880-883

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICPR.2006.346

Socpus ID

34147131683 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34147131683

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