Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach

R. Melo, M. Antunes, J.P. Barreto, G. Falcao, N. Goncalves; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013, pp. 537-544

Abstract

Estimating the amount and center of distortion from lines in the scene has been addressed in the literature by the socalled "plumb-line" approach. In this paper we propose a new geometric method to estimate not only the distortion parameters but the entire camera calibration (up to an "angular" scale factor) using a minimum of 3 lines. We propose a new framework for the unsupervised simultaneous detection of natural image of lines and camera parameters estimation, enabling a robust calibration from a single image. Comparative experiments with existing automatic approaches for the distortion estimation and with ground truth data are presented.

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[bibtex]
@InProceedings{Melo_2013_ICCV,
author = {Melo, R. and Antunes, M. and Barreto, J.P. and Falcao, G. and Goncalves, N.},
title = {Unsupervised Intrinsic Calibration from a Single Frame Using a "Plumb-Line" Approach},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}