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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: Jun 14, 2025

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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从技术视觉系统中的低分辨率空间坐标云进行重建的3D数据处理和缩.

Ivan Y Alba Corpus1,2, Wendy Flores-Fuentes1, Oleg Sergiyenko3

  • 1Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali 21280, Mexico.

Entropy (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

这项研究表明,技术视觉系统 (TVS) 可以使用最小的数据点创建可识别的3D扫描. 先进的过和回归模型减少噪音和扭曲,用于详细的3D重建.

关键词:
3D重建重建的3D重建云端注册 云端注册 云端注册空间坐标 云的空间坐标

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相关实验视频

Last Updated: Jun 14, 2025

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Published on: December 3, 2013

15.6K
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科学领域:

  • 计算机视觉 计算机视觉
  • 计量学 计量学 计量学
  • 3D扫描技术的使用

背景情况:

  • 技术视觉系统 (TVS) 集成激光扫描和传感器用于3D空间坐标测量.
  • 在降低分辨率的3D扫描中探索TVS在数据质量和处理时间方面提出了挑战.

研究的目的:

  • 调查TVS在较低分辨率高效的3D对象数字化方面的潜力.
  • 开发用于生成可识别的3D扫描的方法,使用最小的3D点,平衡扫描时间和数据量.

主要方法:

  • 使用旋转桌对象扫描用TVS.
  • 采用统计数据过和回归模型来优化扫描窗口和减少噪音.
  • 应用3D点注册和对准地面真实模型进行评估.

主要成果:

  • 从粗略扫描或杂的数据中成功生成可识别的3D扫描.
  • 证明了尽管最初的数据有限,但详细的3D模型可以重建.
  • 确定了最佳扫描参数和过技术,以提高扫描质量.

结论:

  • 电视系统能够重建足够详细的3D模型,即使是低清晰度或噪音高的输入数据.
  • 开发的方法有效地减轻了TVS固有的噪音和扭曲.
  • 这种方法为高效的3D扫描提供了可行的解决方案,减少了数据需求.