A new method for modeling non-rigid objects in a multiple-camera guarded environment is proposed. The statistical model of the shape of a non-rigid object takes into account the correlations between different points of view. The model is automatically generated by processing a typical training set for the considered shape by a PCA (Principal Component Analysis) algorithm. Snakes and dynamic contours are used to describe the shape of the non-rigid object.

Automatic Generation of the Statistical Model of a Non-Rigid Object in a Multiple-Camera Environment

MARCENARO, LUCIO;REGAZZONI, CARLO;VERNAZZA, GIANNI
2000

Abstract

A new method for modeling non-rigid objects in a multiple-camera guarded environment is proposed. The statistical model of the shape of a non-rigid object takes into account the correlations between different points of view. The model is automatically generated by processing a typical training set for the considered shape by a PCA (Principal Component Analysis) algorithm. Snakes and dynamic contours are used to describe the shape of the non-rigid object.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/202504
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