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 Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

667
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
667
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

386
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
386
Modeling and Similitude01:12

Modeling and Similitude

267
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
267
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.2K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.2K
Rigid Body Equilibrium Problems - II01:21

Rigid Body Equilibrium Problems - II

7.0K
A rigid body is in static equilibrium when the net force and the net torque acting on the system are equal to zero.
Consider two children sitting on a seesaw, which has negligible mass. The first child has a mass (m1) of 26 kg and sits at point A, which is 1.6 meters (r1) from the pivot point B; the second child has a mass (m2) of 32 kg and sits at point C. How far from the pivot point B should the second child sit (r2) to balance the seesaw?
7.0K

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

In Regard to Yeung et al.

International journal of radiation oncology, biology, physics·2026
Same author

Identification and validation of lactylation-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.

Hereditas·2026
Same author

Nanoparticle-Induced Breast Cancer Cell Death: The Associated Mechanisms of Seven Major Cell Death Pathways in Preclinical Models and a Cross-Validation Model.

Cells·2026
Same author

Cross-species analysis of adult hippocampal neurogenesis reveals human-specific gene expression but convergent biological processes.

Nature neuroscience·2025
Same author

Letter to the editor on "Baveno VI-SSM stratifies the risk of portal hypertension-related events in patients with HBV-related cirrhosis".

Clinical and molecular hepatology·2025
Same author

Comparative molecular landscapes of immature neurons in the mammalian dentate gyrus across species reveal special features in humans.

bioRxiv : the preprint server for biology·2025

相关实验视频

Updated: Jul 5, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

1.6K

匹配规范化:基于学习的点云注册,用于在现实世界中估计6D对象位置.

Zheng Dang, Lizhou Wang, Yu Guo

    IEEE transactions on pattern analysis and machine intelligence
    |January 17, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究通过引入一种新的损失函数和规范化策略,增强了从点云中对6D对象姿势的估计. 这些方法提高了基于学习的真实数据3D对象注册的性能.

    更多相关视频

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
    05:05

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

    Published on: November 23, 2019

    8.0K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    988

    相关实验视频

    Last Updated: Jul 5, 2025

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
    09:41

    Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

    Published on: April 21, 2023

    1.6K
    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
    05:05

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

    Published on: November 23, 2019

    8.0K
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    988

    科学领域:

    • 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
    • 机器学习 机器学习

    背景情况:

    • 基于学习的3D对象注册方法在合成数据上表现出色,但在现实数据上失败.
    • 关键的挑战包括对旋转范围的敏感性和点云之间的不同特征分布.

    研究的目的:

    • 调查和解决当前基于学习的6D从点云估计的局限性.
    • 开发适用于现有的3D对象注册框架的可通用策略.

    主要方法:

    • 引入了直接监督的损失函数,以通过旋转克服基于SVD的损失限制.
    • 开发了一个新的规范化策略,匹配规范化,以处理特征分布差异.

    主要成果:

    • 在DCP和IDAM框架中实施了贡献,证明了显著的改进.
    • 通过基于学习的方法,首次在真实世界的数据集 (TUD-L,LINEMOD,Occluded-LINEMOD) 上取得了有意义的结果.

    结论:

    • 建议的损失函数和规范化策略对于现实世界6D姿势估计是有效的.
    • 这些进展预计将推动点云注册的未来发展.