Neural network for three-dimensional object recognition based on digital holography

被引：50
|
作者：
Frauel, Y [1 ]
Javidi, B [1 ]
机构：
[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
来源：
OPTICS LETTERS | 2001年 / 26卷 / 19期
关键词：
D O I：
10.1364/OL.26.001478
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We present a two-layer neural network for processing of three-dimensional (3D) images that are obtained by digital holography. The network is trained with a real 3D object to compute the weights of the layers. Experiments are presented to illustrate the system performance. The system is designed to detect a 3D object in the presence of various distortions. As an example, experiments are presented to illustrate how the system is able to recognize a 3D object with 360 degrees out-of-plane rotation. (C) 2001 Optical Society of America.
引用
收藏
页码：1478 / 1480
页数：3
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