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

1.8K
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.
1.8K

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

Robust Tracking Method for Small and Weak Multiple Targets Under Dynamic Interference Based on Q-IMM-MHT.

Sensors (Basel, Switzerland)·2025
Same author

Mitigation of the small-scale self-focusing effect by a rotating laser beam in a high-power laser.

Applied optics·2023
Same author

Analytical Model of Piezoresistivity for an Inner-Adhesive-Type Carbon Fibre Reinforced Plastic Tunnel Reinforcement.

Materials (Basel, Switzerland)·2022
Same author

Clinical Response to Subcutaneous Dermatophagoides pteronyssinus Immunotherapy in Children with Allergic Rhinitis and Asthma Is Independent of Sensitization to Blomia tropicalis Allergens.

International archives of allergy and immunology·2018
Same author

Determination of the effects of different high-temperature treatments on texture and aroma characteristics in Alaska pollock surimi.

Food science & nutrition·2018
Same author

Evolution of CYCLOIDEA-like genes in Fabales: Insights into duplication patterns and the control of floral symmetry.

Molecular phylogenetics and evolution·2018

相关实验视频

Updated: Jan 11, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K

一个大规模的合成基准数据集用于非合作空间目标感知.

Yuxuan Liu1,2, Chunjiang Bian3, Hongbin Nie3

  • 1National Space Science Center, Chinese Academy of Sciences, Beijing, China. liuyuxuan231@mails.ucas.ac.cn.

Scientific data
|November 12, 2025
PubMed
概括
此摘要是机器生成的。

研究人员创建了一个新的合成数据集,NCSTP,以训练深度学习模型用于空间目标感知. 这一基准数据集有助于开发精确的太空物体检测和识别系统.

更多相关视频

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.4K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

相关实验视频

Last Updated: Jan 11, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K
Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.4K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

科学领域:

  • 航空航天工程 航空航天工程
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 准确的太空目标感知对于在轨航天任务至关重要.
  • 深度学习模型对空间目标感知有希望,但需要大型标记数据集.
  • 现有的数据集不足以进行全面的深度学习模型培训.

研究的目的:

  • 为了解决空间目标感知当前数据集的局限性.
  • 建立一个名为NCSTP的多任务合成基准数据集.
  • 支持同时探测空间目标,识别和组件细分.

主要方法:

  • 收集和修改卫星,太空碎片和太空岩石的模型.
  • 使用Blender在现实的空间环境中生成了20万个合成图像.
  • 用于检测,识别和组件细分任务的注释数据.

主要成果:

  • 开发了NCSTP数据集,其中包含各种空间目标变化.
  • 数据集支持用于感知任务的多任务学习.
  • 通过对数据集测试最先进的模型建立了一个基准.

结论:

  • NCSTP数据集有效地解决了在太空目标感知中需要大规模标记数据的需求.
  • 该基准有助于评估和推进用于航空航天应用的深度学习模型.
  • 这一资源将加速用于太空任务的自主感知系统的开发.