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

Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

274
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
274
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

9.5K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
9.5K
Degree of Curvature and Radius of Curvature01:19

Degree of Curvature and Radius of Curvature

474
The degree of curvature and the radius of curvature are fundamental concepts in determining the sharpness or smoothness of a curve. The degree of curvature is a measure of how steeply a curve bends and can be determined using the chord basis or the arc basis. In the chord basis method, the degree of curvature is defined as the central angle subtended by a chord of 30.48 meters, helping in the calculation of the radius of the curve. The arc basis method defines the degree of...
474
Graphs of Polar Equations01:17

Graphs of Polar Equations

275
The polar coordinate system represents points using a distance from a central point (the pole) and an angle from a reference direction (the polar axis). Unlike rectangular coordinates, polar coordinates are ideal for graphing curves with radial symmetry or periodic behavior.Some general forms of graphs in polar coordinates include the following:Equation of a Circle (Centered at the Pole):A graph where the radius remains constant for all angles traces a circle centered at the pole:Equation of a...
275
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

16.9K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
16.9K
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

861
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
861

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

Tunable and Selective Doping Modulation in Pd-Filled Carbon Nanotube Transistors.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same author

Curcumin alleviates cold stress-induced myocardial injury by regulating macrophage polarization through the STUB1/STAT1-STAT6-KLF4 signaling axis.

International immunopharmacology·2026
Same author

Large Language Model-Informed Dual-Track AI Framework for the Synergistic Design of Crack-Free and High-Strength Superalloys.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

OffsetCrust: Variable-Radius Offset Approximation with Power Diagrams.

IEEE transactions on visualization and computer graphics·2026
Same author

Mammary tumors-derived exosomes induce striatal NF-κB signaling, microglial reactivity, and anxiety/depression-like behaviors.

Brain, behavior, and immunity·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
查看所有相关文章

相关实验视频

Updated: Jan 17, 2026

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

1.4K

DFG-PCN:点云完成与度灵活的点图.

Zhenyu Shu, Jian Yao, Shiqing Xin

    IEEE transactions on visualization and computer graphics
    |September 22, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种新的度灵活点图完成网络 (DFG-PCN),用于点云完成. 我们的方法通过适应性地关注复杂的几何区域来增强重建,优于现有的方法.

    更多相关视频

    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
    06:48

    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

    Published on: May 10, 2020

    3.9K
    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
    06:55

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

    Published on: August 5, 2016

    8.5K

    相关实验视频

    Last Updated: Jan 17, 2026

    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

    1.4K
    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
    06:48

    Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

    Published on: May 10, 2020

    3.9K
    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
    06:55

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

    Published on: August 5, 2016

    8.5K

    科学领域:

    • 计算机视觉 计算机视觉
    • 3D几何处理处理 3D几何处理
    • 机器学习 机器学习

    背景情况:

    • 点云完成对于从不完整的数据中重建3D形状至关重要,这通常是由传感器限制或遮蔽引起的.
    • 传统的方法与不均的几何复杂性作斗争,导致细节区域的非最佳重建.

    研究的目的:

    • 开发一个先进的点云完成框架,解决固定区域分区的局限性.
    • 从不完整的点云中改进3D形状重建的效率和准确性.

    主要方法:

    • 提出了度灵活点图完成网络 (DFG-PCN),基于细节感知度量 (特征变化和曲率) 的自适应节点度量分配.
    • 引入了利用曼哈顿距离进行边缘聚合和细节引导的特征融合的几何意识图形集成模块.

    主要成果:

    • DFG-PCN以适应性优先考虑结构性重要区域,增强细粒度细节和不连续性的表示.
    • 几何感知集成模块有效地融合了本地和全球特征,以实现更优质的表示.

    结论:

    • 拟议的DFG-PCN框架显著提高了点云完成性能.
    • 广泛的实验证实了DFG-PCN在基准数据集上的最先进方法上的优越性.