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

Gauss's Law01:07

Gauss's Law

If a closed surface does not have any charge inside where an electric field line can terminate, then the electric field line entering the surface at one point must necessarily exit at some other point of the surface. Therefore, if a closed surface does not have any charges inside the enclosed volume, then the electric flux through the surface is zero. What happens to the electric flux if there are some charges inside the enclosed volume? Gauss's law gives a quantitative answer to this question.
Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half has a uniform...
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

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

VD-NeRF: Visibility-Aware Decoupled Neural Radiance Fields for View-Consistent Editing and High-Frequency Relighting.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Pseudodynamic analysis of heart tube formation in the mouse reveals strong regional variability and early left-right asymmetry.

Nature cardiovascular research·2024
Same author

SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Interactive NeRF Geometry Editing With Shape Priors.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Neural Radiance Fields From Sparse RGB-D Images for High-Quality View Synthesis.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Classification of properties and their relation to chemical bonding: Essential steps toward the inverse design of functional materials.

Science advances·2022
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2026

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology
21:47

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Published on: December 19, 2010

12.7K

推迟GS:分离和可重启的高斯斯裂纹与推迟阴影.

Tong Wu, Jia-Mu Sun, Yu-Kun Lai

    IEEE transactions on pattern analysis and machine intelligence
    |April 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    推迟GS在高斯斯普拉特中将纹理和照明脱,以改进3D场景编辑. 这种方法使用延迟阴影来实现现实的重新照明和更好的几何形状,克服了以前方法的局限性.

    更多相关视频

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    12.6K
    Electrospray Deposition of Uniform Thickness Ge23Sb7S70 and As40S60 Chalcogenide Glass Films
    08:38

    Electrospray Deposition of Uniform Thickness Ge23Sb7S70 and As40S60 Chalcogenide Glass Films

    Published on: August 19, 2016

    8.4K

    相关实验视频

    Last Updated: Jun 28, 2026

    Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology
    21:47

    Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

    Published on: December 19, 2010

    12.7K
    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    12.6K
    Electrospray Deposition of Uniform Thickness Ge23Sb7S70 and As40S60 Chalcogenide Glass Films
    08:38

    Electrospray Deposition of Uniform Thickness Ge23Sb7S70 and As40S60 Chalcogenide Glass Films

    Published on: August 19, 2016

    8.4K

    科学领域:

    • 计算机图形 计算机图形
    • 计算机视觉 计算机视觉
    • 3D场景重建 3D场景重建

    背景情况:

    • 神经辐射场 (NeRFs) 提供现实的3D重建,但速度很慢.
    • 高斯斯喷涂加速染,但与独立的纹理/照明编辑作斗争.
    • 在高斯斯喷涂中解脱纹理和照明的现有方法面临着反射场景和重新点亮文物的挑战.

    研究的目的:

    • 介绍DeferredGS,这是一个用于解和重新点亮高斯斯普拉特表示的新方法.
    • 为了使3D场景中的纹理和照明能够独立编辑.
    • 为了实现更现实的重新照明效果,并提高几何形状的可信性.

    主要方法:

    • 推迟GS模型照明与一个可学习的环境地图.
    • 额外的属性,如纹理参数和正常方向,在Gaussian上定义.
    • 延迟阴影用于增强重新照明,正常值从签名距离函数中提炼出来.

    主要成果:

    • 推迟GS成功地将纹理和照明在高斯斯喷中脱.
    • 该方法产生了可信的几何和分解结果,即使在反射场景上.
    • 与以前的技术相比,延迟阴影导致更现实的重新照明.

    结论:

    • 推迟GS显著改进了现有的高斯喷涂方法,用于3D场景编辑和重新照明.
    • 该方法在新视图合成和重新点亮任务中提供了卓越的性能.
    • 推迟GS提供了一个强大的解决方案,用于现实的3D场景操纵.