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

被引：0
|
作者：
Ferrara, P. [1 ,2 ]
Uccheddu, F. [1 ]
Pelagotti, A. [2 ]
机构：
[1] Univ Florence, DET, Via S Marta 3, I-50100 Florence, Italy
[2] Ist Nazl Ottica, Natl Opt Inst, I-50125 Florence, Italy
来源：
THREE-DIMENSIONAL IMAGE PROCESSING (3DIP) AND APPLICATIONS 2013 | 2013年 / 8650卷
关键词：
Mutual Information; 3D texturing; Image registration; IMAGE REGISTRATION; MAXIMIZATION;
D O I：
10.1117/12.2004776
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：13
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