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

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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

Two-year-supervised resistance training prevented diabetes incidence in people with prediabetes: A randomised control trial.

Diabetes/metabolism research and reviews·2019
Same author

Preliminary evaluation of a predictive controller for a rotary blood pump based on pulmonary oxygen gas exchange.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine·2019
Same author

A Destructive New Disease of Citrus in China Caused by Cryptosporiopsis citricarpa sp. nov.

Plant disease·2019
Same author

Effects of membrane reference state on shape memory of a red blood cell.

Computer methods in biomechanics and biomedical engineering·2019
Same author

Ultrafast Photovoltaic-Type Deep Ultraviolet Photodetectors Using Hybrid Zero-/Two-Dimensional Heterojunctions.

ACS applied materials & interfaces·2019
Same author

Phenolic profile and antioxidant properties of sand rice (Agriophyllum squarrosum) as affected by cooking and in vitro digestion.

Journal of the science of food and agriculture·2019

相关实验视频

Updated: Jul 19, 2026

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.5K

基于深度学习的极化3D成像方法用于水下目标.

Xianyu Wu, Jiangtao Chen, Penghao Li

    Optics express
    |January 29, 2025
    PubMed
    概括

    本研究介绍了一种基于学习的新方法,用于使用偏振成像对水下物体的3D形状重建. 该技术有效地克服了水中的光散射所带来的挑战,提高了成像精度.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 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:

    • 水下成像质量因光散射和吸收而降低,阻碍了光学3D重建.
    • 极化成像减轻了散射效应,并为表面正常估计和3D形状重建提供了数据.
    • 现有的方法缺乏足够的数据集和强大的技术来准确地进行水下3D形状重建.

    研究的目的:

    • 开发一种基于学习的方法,使用偏振成像来准确地3D重建水下目标的形状.
    • 在模拟的Jerlov Type I水条件下创建一个用于水下偏振3D成像的综合数据集.
    • 通过解决散射和亚齐图斯模糊性来提高水下3D成像的准确性和细节性.

    主要方法:

    • 开发了一个数据采集系统来模拟水下条件,并收集与地面真相表面正常值的偏振图像.
    • 一个基于网络的网络框架被提议用于水下极化图像的3D重建.
    • 结合了有效的极化表示,以解决亚齐图斯模糊性并捕获详细的纹理信息.

    主要成果:

    • 拟议的方法有效地解决了亚齐图斯模糊性,这是基于偏振的重建的一个常见挑战.
    • 在3D重建过程中,纹理损失显著减少.
    • 与现有技术相比,表面正常估计和整体3D成像的准确性得到了改进.

    更多相关视频

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
    05:54

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

    Published on: September 8, 2023

    1.1K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    314

    相关实验视频

    Last Updated: Jul 19, 2026

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
    10:56

    Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

    Published on: March 6, 2014

    12.5K
    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
    05:54

    Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

    Published on: September 8, 2023

    1.1K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    314

    结论:

    • 从偏振方法开发的基于学习的形状为水下3D成像提供了卓越的性能.
    • 创建的数据集和拟议的网络框架推动了水下光学3D重建领域的发展.
    • 这种方法对于需要高精度水下3D成像的各种应用具有前景.