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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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相关实验视频

Updated: Jan 11, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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基于立体视觉的3D测量方法使用分段相位编码,不使用相位解封.

Yanjun Fu, Zhangle Xiong, Kejun Zhong

    Optics express
    |November 11, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了一种新的双眼立体3D测量方法,无需相位解封. 它有效地使用相位编码边缘进行辅助匹配,在3D重建中实现高精度.

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    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
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    相关实验视频

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算机视觉 计算机视觉
    • 计量学 计量学 计量学

    背景情况:

    • 阶段解封对于3D重建至关重要,但需要大量的边缘图案.
    • 双筒结构光系统在测量范围方面面临挑战,原因是相机的视野重叠.
    • 双眼镜系统中的相机之间边缘图案的高度相似性为新的匹配策略提供了机会.

    研究的目的:

    • 为双筒结构光系统开发一个无相解封的3D测量方法.
    • 为了利用相机之间的边缘图案的高度相似性来改善匹配.
    • 为了提高3D测量的精度和效率,而不需要复杂的校准.

    主要方法:

    • 使用周期分段相位编码边框进行辅助匹配.
    • 采用加权的最长常见次序 (LCS) 算法来解决细分阶段代码匹配作为一个序列相似性问题.
    • 使用单调性匹配包裹相的单调区域,并从包裹相值中获得部分差异.
    • 通过使用π相位移包裹相位的跳跃区域的差异.

    主要成果:

    • 拟议的方法只需要三个侧面相位移图像和两个细分相位编码图像.
    • 不需要定期纠正错位或对投影仪进行校准.
    • 实验验证证明了有效性,标准球测量的根平均平方误差为0.052毫米.

    结论:

    • 开发的双眼立体3D测量方法有效地消除了分相解封的需要.
    • 这种方法成功地利用相位编码来实现强大的辅助匹配,即使具有相似的边缘图案.
    • 该技术为结构光系统中的3D测量提供了简化,准确和高效的解决方案.