Stereodisplay with neural network image processing

机译：具有神经网络图像处理的立体声展

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

The system for visualization of multi-aspect images on the base of multi-layer liquid crystal display (LCD) and neural network image processing was proposed and investigated experimentally. The optical scheme consists of, at least, two sequentially positioned LCD screens one behind another and computer system calculating the information to be illuminated on the LCD. Unlike to the conventional parallax barrier schemes the information about aspects of the stereo image are being distributed in both LCD, so the image quality may be much higher then in conventional autostereoscopic displays.

机译：提出了用于在多层液晶显示器（LCD）基部和神经网络图像处理的基础上的多方面图像的系统进行实验研究。光学方案至少由两个顺序定位的LCD屏幕组成另一个和计算机系统，计算在LCD上被照射的信息。与传统的视差屏障示例不同，可以在两个LCD中分布立体图像的各个方面的信息，因此在传统的自动立体显示器中，图像质量可能高得多。

著录项

来源
《Internaional symposium on advanced display technologies》|2001年||共6页
会议地点
作者
A. Putilin; A. Lukianitsa; K. Kanashin;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类显示技术;
关键词
stereodisplay; LCD; neural networks; 3D images;

机译：立体透视;LCD;神经网络;3D图像;

相似文献

外文文献
中文文献
专利

1. Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks [J] . Iman Sajedian, Jeonghyun Kim, Junsuk Rho Microsystems & Nanoengineering . 2019,第a期

机译：通过使用卷积神经网络和经常性神经网络的组合来找等图像处理来找到等离子体结构的光学性质
2. Discrimination based on image processing at apple harvest (Part 3): Development of neural network model of color image processing and methods of binary image processing [J] . Ming Sun, Teruo Takahashi, Shuhuai Zhang, 配管·装置·プラント技術 . 1998,第6期

机译：基于Apple Harvest的图像处理的歧视（第3部分）：彩色图像处理神经网络模型的发展及二元图像处理方法
3. Discrimination based on image processing at apple harvest (Part 3): Development of neural network model of color image processing and methods of binary image processing [J] . Ming Sun, Teruo Takahashi, Shuhuai Zhang, 配管·装置·プラント技術 . 1998,第6期

机译：基于Apple Harvest的图像处理的歧视（第3部分）：彩色图像处理神经网络模型的发展及二元图像处理方法
4. Stereodisplay with neural network image processing [C] . Andrew A. Lukianitsa, Andrew N. Putilin Conference on Stereoscopic Displays and Virtual Reality Systems Ⅸ, Jan 21-24, 2002, San Jose, USA . 2002

机译：具有神经网络图像处理的立体显示
5. The image node: An image processing neural network component. [D] . Weinstein, Larry R. 1999

机译：图像节点：图像处理神经网络组件。
6. Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks [O] . Iman Sajedian, Jeonghyun Kim, Junsuk Rho 2019

机译：结合卷积神经网络和递归神经网络进行图像处理找到等离激元结构的光学性质
7. Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks [O] . Iman Sajedian, Jeonghyun Kim, Junsuk Rho 2019

机译：通过使用卷积神经网络和经常性神经网络的组合来找等图像处理来找等离子体结构的光学性质
8. Hardware Implementation of a Desktop Supercomputer for High Performance Image Processing. Color Image Processing Using Cellular Neural Networks. [R] . de Gyvez, J. P. 1994

机译：用于高性能图像处理的桌面超级计算机的硬件实现。基于细胞神经网络的彩色图像处理。

Stereodisplay with neural network image processing

摘要

著录项

相似文献

相关主题

期刊订阅