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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

601
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
601

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相关实验视频

Updated: Jun 10, 2025

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
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空间定位和传感在两个维度通过metasurfaces通过两个维度.

Georgiana Dima1, Christopher John Stevens2

  • 1Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK. georgiana.dima@eng.ox.ac.uk.

Scientific reports
|October 15, 2024
PubMed
概括

本研究介绍了一种超表面传感器,用于通过神经网络进行对象检测,定位和识别. 传感器在精确确定物体位置和区分它们时实现了高精度,为先进应用打开了大门.

科学领域:

  • 地表表面技术的技术.
  • 传感器开发 传感器开发
  • 机器学习应用程序 机器学习应用程序

背景情况:

  • 超表面为传感提供独特的电磁性质.
  • 对于物体检测,可以分析与元表面的近场相互作用.
  • 现有的方法在定位和识别方面可能缺乏精度.

研究的目的:

  • 开发一个二维的超表面传感器,用于检测,定位和区分物体.
  • 为了证明单个观测点对于明确的对象分析的能力.
  • 探索超表面传感器在各种应用中的潜力,包括无线电力传输和人机接口.

主要方法:

  • 设计一个二维的超表面传感器,能够检测超原子的局部变化.
  • 利用元原子感应率和整体输入阻抗的变化来描述对象相互作用.
  • 采用神经网络机器学习算法用于基于阻抗变化的对象定位和识别.
  • 使用叠加原理推导超表面特性和行为.

主要成果:

  • 研究对象的精确定位,其精度超过了数学.
  • 成功分离和识别不同的物体,准确度超过1.
  • 证明单点观测足以进行明确的对象分析.

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相关实验视频

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结论:

  • 开发的超表面传感器有效地检测,定位和识别其近距离场中的物体.
  • 神经网络方法在本地化和识别任务中提供了高精度.
  • 潜在的应用包括用于无线电力传输的异物检测和新的触摸屏接口.