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

被引：51

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

页码：1478 / 1480

页数：3

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