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Article Dans Une Revue Image and Vision Computing Année : 2006

Plane-based camera self-calibration by metric rectication of images

Jean-Marie Becker
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Thierry Fournel
Catherine Mennessier
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Résumé

Plane-based self-calibration aims at the computation of camera intrinsic parameters from homographies relating multiple views of the same unknown planar scene. This paper proposes a straightforward geometric statement of plane-based self-calibration, through the concept of metric rectification of images. A set of constraints is derived from a decomposition of metric rectification in terms of intrinsic parameters and planar scene orientation. These constraints are then solved using an optimization framework based on the minimization of a geometrically motivated cost function. The link with previous approaches is demonstrated and our method appears to be theoretically equivalent but conceptually simpler. Moreover, a solution dealing with radial distortion is introduced. Experimentally, the method is compared with plane-based calibration and very satisfactory results are obtained. Markerless self-calibration is demonstrated using an intensity-based estimation of the inter-image homographies.

Dates et versions

ujm-00375536 , version 1 (15-04-2009)

Identifiants

Citer

Jean-François Menudet, Jean-Marie Becker, Thierry Fournel, Catherine Mennessier. Plane-based camera self-calibration by metric rectication of images. Image and Vision Computing, 2006, 26 (7), pp.913-934. ⟨10.1016/j.imavis.2007.10.005⟩. ⟨ujm-00375536⟩
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