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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

644
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.
644

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相关实验视频

Updated: Jun 29, 2025

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
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双眼视觉传感器的现场校准方法基于相位移算法.

Mingwei Shao, Lingkun Zhang, Hailong Ma

    Applied optics
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    概括
    此摘要是机器生成的。

    本研究引入了一种使用相位移模式的双眼视觉传感器 (BVS) 的新现场校准方法. 这种方法克服了传统方法的局限性,允许在狭窄的工业空间进行校准,即使有振动.

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    科学领域:

    • 机器人和自动化 机器人和自动化
    • 计算机视觉 计算机视觉
    • 传感器技术 传感器技术

    背景情况:

    • 传统的双眼视觉传感器 (BVS) 校准需要多个目标位置,限制在狭窄的空间使用.
    • 有振动的工业环境对精确的传感器校准构成了挑战.
    • 准确的BVS校准对于自主导航和工业检查等应用至关重要.

    研究的目的:

    • 提出一种新的BVS现场校准方法,适用于狭窄的空间.
    • 克服传统校准技术的局限性,这些技术需要多个目标放置.
    • 开发一个强大的校准解决方案,适用于具有挑战性的工业环境.

    主要方法:

    • 摄像机内在参数的离线校准.
    • 将相位移模式投射到具有已知的3D信息的单个目标上.
    • 使用相位移算法来确定摄像头之间的空间关系.

    主要成果:

    • 在现场成功地使用单个目标对BVS进行校准.
    • 验证了该方法在工业振动环境中的有效性.
    • 实现了两台摄像机之间的关系的准确确定.

    结论:

    • 拟议的基于相位移的校准方法对于双眼视觉传感器是有效的.
    • 这种技术特别适合在有限的工业环境中进行现场校准.
    • 该方法提供了稳定性和灵活性,解决了传统校准方法的局限性.