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

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.
Divergence Theorem in 3D Space01:20

Divergence Theorem in 3D Space

In vector calculus, flux measures the total flow of a vector field through a surface. For a closed surface in three-dimensional space, this means measuring how much of the field passes outward through every point on the boundary. Directly calculating this flux can be difficult when the surface has a complicated or irregular shape. The Divergence Theorem provides a powerful alternative by relating surface flux to behavior inside the enclosed region.The Divergence Theorem states that the outward...

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

FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection.

Frontiers in big data·2026
Same author

Asynchronous federated learning for web-based OCT image analysis.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification.

Journal of eye movement research·2025
Same author

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data.

Scientific reports·2025
Same author

A review of machine learning in scanpath analysis for passive gaze-based interaction.

Frontiers in artificial intelligence·2024
Same author

BlinkLinMulT: Transformer-Based Eye Blink Detection.

Journal of imaging·2023

相关实验视频

Updated: Jul 12, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

交叉视角语义映射:整合人类和机器人的视角,改进3D语义重建.

László Kopácsi1,2, Benjámin Baffy2, Gábor Baranyi2

  • 1Department of Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), 66123 Saarbrücken, Germany.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

本研究介绍了一种机器人创建人类可理解的3D语义地图的方法,通过语义匹配和深度学习克服观点差异,以改善机器人的感知和人机交互.

关键词:
三维语义地图 3D语义地图计算机视觉 计算机视觉深度学习是一种深度学习.人类与机器人的协作.标签转移 标签转移 标签转移实时重建的重建.语义匹配是指语义上的匹配.语义细分 语义细分 语义细分 语义细分超像素细分的超像素细分.

更多相关视频

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.1K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

782

相关实验视频

Last Updated: Jul 12, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.1K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

782

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 全中心的语义3D地图对于人机交互至关重要,使自我中心的观点推导成为可能.
  • 类标签和地图解释的差异源于人类和机器人的不同视角,特别是小机器人.
  • 现有的3D语义重建管道与视角变化作斗争.

研究的目的:

  • 扩展3D语义重建管道,使用交叉视角语义匹配来实现人机协作.
  • 开发用于从不寻常的低角度机器人视角获得语义标签的方法.
  • 为了使小机器人能够为人类合作伙伴生成高质量的语义地图.

主要方法:

  • 扩展实时3D语义重建管道,在人类和机器人视角之间进行语义匹配.
  • 利用深度识别网络并提出从非标准视角获得语义标签的新方法.
  • 通过超像素细分和环境几何学,将人类视角的语义重建适应到机器人视角.

主要成果:

  • 从机器人的角度实现了高质量的语义细分,与人类观点相提并论.
  • 通过利用获得的语义信息,改善了低视角的深度网络识别性能.
  • 展示了一个小型机器人能够自主生成高质量的语义地图的能力.

结论:

  • 拟议的方法有效地弥合了3D绘图中人类和机器人的观点之间的语义差距.
  • 使小机器人能够创建准确和有用的语义地图,促进更好的人机交互.
  • 实时性能促进了机器人和增强现实的交互应用.