A 3D Head Model From Stereo Images by a Self-Organizing Neural Network

被引:0
|
作者
Sajo, Levente [1 ]
Hoffmann, Miklos [2 ]
Fazekas, Attila [1 ]
机构
[1] Univ Debrecen, Fac Informat, POB 12, H-4010 Debrecen, Hungary
[2] Eszterhazy Karoly Coll, Inst Math & Informat, H-3300 Eger, Hungary
来源
JOURNAL FOR GEOMETRY AND GRAPHICS | 2009年 / 13卷 / 02期
关键词
3D face model; stereo images; neural network;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper a model based approach is presented for generating 3D face models from two stereo images. The proposed method works with a small number of feature points of the face. The automatically registrated point pairs are used to reconstruct their 3D correspondence, then a predefined general face model is adjusted to the reconstructed 3D points. Fitting the general face model to the feature points is made iteratively by applying a self-organizing neural network.
引用
收藏
页码:209 / 220
页数:12
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