Neural network for three-dimensional object recognition based on digital holography.
Neural network for three-dimensional object recognition based on digital holography.
复制标题
基于数字全息的三维物体识别神经网络
DOI：
10.1364/ol.26.001478
复制
发表时间：
2001
期刊：
影响因子：
3.6
通讯作者：
B. Javidi
中科院分区：
文献类型：
--
作者：
Y. Frauel;B. Javidi
我们提出了一个两层神经网络，用于处理通过数字全息术获得的三维（3D）图像。该网络使用真实的 3D 对象进行训练，以计算各层的权重。实验旨在说明系统性能。该系统旨在检测存在各种变形的 3D 物体。作为示例，我们通过实验来说明系统如何识别具有 360 度平面外旋转的 3D 对象。
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.