Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

610
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.
610

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Application of Information Theory to Computer Vision and Image Processing II.

Entropy (Basel, Switzerland)·2026
Same author

Comparative Assessment of PPG-Derived HRV Using MAX30102 Sensor and Analog Circuitry with ADS1115 ADC.

Sensors (Basel, Switzerland)·2026
Same author

Efficient Learning-Based Robotic Navigation Using Feature-Based RGB-D Pose Estimation and Topological Maps.

Entropy (Basel, Switzerland)·2025
Same author

Application of Information Theory to Computer Vision and Image Processing.

Entropy (Basel, Switzerland)·2024
Same author

Shannon Entropy Used for Feature Extractions of Optical Patterns in the Context of Structural Health Monitoring.

Entropy (Basel, Switzerland)·2023
Same author

Comparison between Different Types of Sensors Used in the Real Operational Environment Based on Optical Scanning System.

Sensors (Basel, Switzerland)·2018

相关实验视频

Updated: Jun 14, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

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

Published on: December 3, 2013

15.6K

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

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

更多相关视频

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.2K

相关实验视频

Last Updated: Jun 14, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

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

Published on: December 3, 2013

15.6K
Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K
Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.2K

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.