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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

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相关实验视频

Updated: Jul 13, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

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用事件摄像头保护隐私的视觉定位.

Junho Kim, Young Min Kim, Ramzi Zahreddine

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 22, 2025
    PubMed
    概括

    本研究介绍了一个基于事件摄像头的边缘设备客户端-服务器本地化系统. 它增强了基于位置的服务的隐私和稳定性,提供低能耗和高效的3D地图本地化.

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器人技术 机器人技术 机器人技术
    • 边缘计算 边缘计算

    背景情况:

    • 客户端-服务器本地化对于AR/VR和移动应用程序至关重要.
    • 资源有限的边缘设备面临着大型3D地图和高效本地化方面的挑战.
    • 现有的系统在计算效率,稳定性和隐私方面扎.

    研究的目的:

    • 使用事件摄像头开发一个客户端-服务器本地化管道.
    • 为解决边缘设备本地化中的计算效率,稳定性和隐私问题.
    • 在资源有限的设备上实现实际的基于位置的服务.

    主要方法:

    • 使用事件摄像头,以低能耗和小内存带宽.
    • 实现事件到图像的转换,以利用已有的基于图像的本地化技术.
    • 引入了双层隐私保护:网络级分割推断和传感器级过.

    主要成果:

    • 在低光和快速运动等具有挑战性的条件下实现了强大的本地化.
    • 在最小的性能损失下显著缓解隐私问题.
    • 用户研究证实了不安全感的减少.

    结论:

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    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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    • 拟议的基于事件摄像头的系统为客户端-服务器本地化提供了一个高效和私密的解决方案.
    • 这条管道是未来边缘设备上的基于位置的服务的基本组成部分.
    • 该系统通过解决视觉数据传输中的隐私和安全问题来增强用户体验.