Maximization of Mutual Information routines proved to be suitable for registration of multimodal images. Here a method is proposed to select, in a set of candidates, the image which has a closer resemblance with a given external one. Such algorithm is intended to serve within a wider scope procedure for the automatic texturing of 3D models, where the initial 2D-3D registration problem is shifted to a 2D-2D registration challenge. In order to improve its performance a number of variations in the way the Mutual Information is computed are introduced and a method to judge its reliability is proposed.

Improvements on a MMI-based method for automatic texture mapping of 3D dense models / P. Ferrara; F. Uccheddu; A. Pelagotti. - (2013), pp. 86500C-86500C-13. (Intervento presentato al convegno Three-Dimensional Image Processing (3DIP) and Applications).

Improvements on a MMI-based method for automatic texture mapping of 3D dense models

FERRARA, PASQUALE;UCCHEDDU, MARIA FRANCESCA;
2013

Abstract

Maximization of Mutual Information routines proved to be suitable for registration of multimodal images. Here a method is proposed to select, in a set of candidates, the image which has a closer resemblance with a given external one. Such algorithm is intended to serve within a wider scope procedure for the automatic texturing of 3D models, where the initial 2D-3D registration problem is shifted to a 2D-2D registration challenge. In order to improve its performance a number of variations in the way the Mutual Information is computed are introduced and a method to judge its reliability is proposed.
2013
Proc.of SPIE, 8650
Three-Dimensional Image Processing (3DIP) and Applications
P. Ferrara; F. Uccheddu; A. Pelagotti
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/919740
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