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

Parallel Processing01:20

Parallel Processing

143
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
143
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

510
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.
510
Vision01:24

Vision

52.9K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
52.9K
Visual System01:26

Visual System

476
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
476
Perception01:28

Perception

429
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
429

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

Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges.

Sensors (Basel, Switzerland)·2026
Same author

An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction.

Scientific reports·2025
Same author

Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique.

Scientific reports·2024
Same author

An improved human activity recognition technique based on convolutional neural network.

Scientific reports·2023
Same author

Obstacle Detection in Infrared Navigation for Blind People and Mobile Robots.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 25, 2025

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

452

卷积神经网络的广泛研究:用于计算机视觉的应用,以改善机器人感知.

Ravi Raj1, Andrzej Kos2

  • 1Institute of Robotics and Machine Intelligence, Poznań University of Technology, ul. Piotrowo 3A, 60-965 Poznań, Poland.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括
此摘要是机器生成的。

卷积神经网络 (CNN) 是机器人计算机视觉的强大深度学习工具. 这篇评论探讨了CNN的基本原理,机器人感知中的应用以及增强机器人智能的未来方向.

关键词:
人工智能 (AI) 是一种人工智能.计算机视觉 计算机视觉卷积神经网络 (CNN) 是一种神经网络.深度学习 (DL) 是指深度学习.机器学习 (ML) 是指机器学习.移动机器人 (MR) 是一种移动机器人.感知 感知 感知 感知

更多相关视频

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

8.9K
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K

相关实验视频

Last Updated: May 25, 2025

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

452
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

8.9K
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K

科学领域:

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

背景情况:

  • 卷积神经网络 (CNN),是一种深度学习的人工神经网络 (ANN),在计算机视觉任务中表现出色.
  • 现有的评论往往忽略了CNN在机器人感知中的特定应用和挑战.
  • 机器人感知是一个不断增长的领域,受益于先进的AI技术.

研究的目的:

  • 提供关于CNN的全面概述,重点关注它们在机器人感知中的原理和应用.
  • 通过包括最近的进展,特别是机器人感知来解决目前的研究缺口.
  • 讨论使用CNN用于改进机器人智能的挑战和未来前景.

主要方法:

  • 审查CNN的基本原则,包括卷积,聚合和完全连接的层.
  • 分析CNN在机器人与机器人相关的各种计算机视觉任务中的应用.
  • 探索反向传播作为CNN中特征获取的一个关键机制.

主要成果:

  • 对于自主系统来说,CNN可以提供有效的空间模式获取.
  • 应用涵盖了各种计算机视觉任务,这些任务对机器人知觉至关重要.
  • 了解CNN是释放它们在提高机器人性能方面的潜力的关键.

结论:

  • 在推进机器人感知和智能方面,CNN是关键.
  • 需要进一步的研究来应对挑战,并利用这一领域的未来前景.
  • 本综述提供了利用CNN在机器人技术中的基本理解.