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

Computed Tomography01:10

Computed Tomography

6.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.3K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

52
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
52
Reducing Line Loss01:18

Reducing Line Loss

194
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
194
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

260
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
260

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

Novel rhino-like SHJH <sup></sup> mice with thyroid dysfunction.

Zoological research·2021
Same author

Accuracy of FibroTouch in assessing liver steatosis and fibrosis in patients with metabolic-associated fatty liver disease combined with type 2 diabetes mellitus.

Annals of palliative medicine·2021
Same author

H<sub>2</sub>O<sub>2</sub>-Mediated Oxidative Stress Enhances Cystathionine γ-Lyase-Derived H<sub>2</sub>S Synthesis via a Sulfenic Acid Intermediate.

Antioxidants (Basel, Switzerland)·2021
Same author

Cerebrospinal Fluid MicroRNA Changes in Cognitively Normal Veterans With a History of Deployment-Associated Mild Traumatic Brain Injury.

Frontiers in neuroscience·2021
Same author

Effects of fertilizer under different dripline spacings on summer maize in northern China.

Scientific reports·2021
Same author

RGD-functionalised melanin nanoparticles for intraoperative photoacoustic imaging-guided breast cancer surgery.

European journal of nuclear medicine and molecular imaging·2021
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

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

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

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

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

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

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

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

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

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

Achieving Text-based Person Retrieval with Any Granularity.

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

相关实验视频

Updated: Sep 13, 2025

Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
05:19

Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes

Published on: April 5, 2024

2.4K

基于深度学习的点云压缩:深入的调查和基准.

Wei Gao, Liang Xie, Songlin Fan

    IEEE transactions on pattern analysis and machine intelligence
    |July 31, 2025
    PubMed
    概括
    此摘要是机器生成的。

    深度学习显著增强了点云压缩 (PCC),克服了传统方法的局限性. 本综述系统地分析了深入的PCC算法,数据集和标准,确定了有效处理3D数据的未来研究方向.

    更多相关视频

    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

    818
    Using Computer Vision Libraries to Streamline Nuclei Quantification
    06:25

    Using Computer Vision Libraries to Streamline Nuclei Quantification

    Published on: June 6, 2025

    421

    相关实验视频

    Last Updated: Sep 13, 2025

    Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
    05:19

    Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes

    Published on: April 5, 2024

    2.4K
    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

    818
    Using Computer Vision Libraries to Streamline Nuclei Quantification
    06:25

    Using Computer Vision Libraries to Streamline Nuclei Quantification

    Published on: June 6, 2025

    421

    科学领域:

    • 计算机视觉 计算机视觉
    • 数据压缩数据压缩
    • 机器学习 机器学习

    背景情况:

    • 3D点云数据的爆炸性增长使存储和传输变得困难.
    • 传统的混合点云压缩 (PCC) 方法与性能限制作斗争.
    • 基于深度学习的PCC提供了一个有前途的解决方案来提高压缩效率.

    研究的目的:

    • 提供基于深度学习的点云压缩 (PCC) 的系统审查.
    • 在深度PCC中分析算法演变,数据集和国际标准.
    • 确定该领域的挑战和未来的研究方向.

    主要方法:

    • 综述流行点云数据集及其属性.
    • 对有损失和无损失深度PCC的算法演化的分析.
    • 针对PCC相关的MPEG和JPEG标准的调查.
    • 在多个数据集上对代表性深度PCC方法进行实验性比较.

    主要成果:

    • 现有的深度PCC方法的全面比较,突出其优缺点.
    • 确定当前深度PCC格局中的关键趋势和挑战.
    • 对各种深度学习方法对PCC的有效性的实证验证.

    结论:

    • 深度学习对于推进点云压缩至关重要.
    • 需要对深度PCC有系统的理解,以指导未来的研究.
    • 未来的工作应该专注于解决更有效的3D数据压缩所面临的挑战.