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

Deconvolution01:20

Deconvolution

127
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
127
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

199
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
199
Frames: Problem Solving II01:26

Frames: Problem Solving II

179
Consider a hydraulic hoist supporting a load of 1 kN. Assuming a simplified schematic representation of this frame structure, the force acting on BD and BF members can be determined.
179
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

334
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
334
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

370
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
370
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

441
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
441

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

Study on the influence of cementation sequence on the mechanical properties and microstructure of MICP-modified ili loess.

PloS one·2026
Same author

LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Perceptual Quality Assessment of Low-Light Enhanced Images: A Multi-Annotated Subjective Dataset and a Multimodal Objective Method.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Semantic consistency-aware pseudo-temporal framework for multimodal remote sensing image segmentation.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Uncertainty-Driven Generative Prior Learning for Sparse Model-Guided Hyperspectral Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Second-Order Robust Iterative Pose Optimization for Fine-Grained Cross-View Localization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

相关实验视频

Updated: May 24, 2025

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

33.8K

学习框架-事件融合为动作解.

Wen Yang, Jinjian Wu, Jupo Ma

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的框架-事件融合框架,用于事件驱动的运动模糊化,有效地利用来自事件摄像头的互补数据来增强图像恢复. 与现有技术相比,拟议的方法显著提高了消除模糊性能的性能.

    更多相关视频

    SNARE-mediated Fusion of Single Proteoliposomes with Tethered Supported Bilayers in a Microfluidic Flow Cell Monitored by Polarized TIRF Microscopy
    10:58

    SNARE-mediated Fusion of Single Proteoliposomes with Tethered Supported Bilayers in a Microfluidic Flow Cell Monitored by Polarized TIRF Microscopy

    Published on: August 24, 2016

    10.8K
    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    15.6K

    相关实验视频

    Last Updated: May 24, 2025

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
    13:01

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

    Published on: April 10, 2016

    33.8K
    SNARE-mediated Fusion of Single Proteoliposomes with Tethered Supported Bilayers in a Microfluidic Flow Cell Monitored by Polarized TIRF Microscopy
    10:58

    SNARE-mediated Fusion of Single Proteoliposomes with Tethered Supported Bilayers in a Microfluidic Flow Cell Monitored by Polarized TIRF Microscopy

    Published on: August 24, 2016

    10.8K
    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    15.6K

    科学领域:

    • 计算机视觉 计算机视觉
    • 信号处理 信号处理
    • 机器学习 机器学习

    背景情况:

    • 动作模糊化是一个错误的问题,因为模糊化过程中信息丢失.
    • 事件摄像机提供高速的异步运动数据,可以补充传统的图像传感器.
    • 集成来自多种传感器类型的信息对于先进的模糊清除至关重要.

    研究的目的:

    • 提出一个新的框架-事件融合框架,用于事件驱动的运动模糊化.
    • 从传统的和事件摄像头数据中有效地融合互补信息.
    • 解决模式冗余性,捕捉远程时空依赖性,以改善模糊.

    主要方法:

    • 开发了一个框架-事件融合框架 (FEF-Deblur),模拟跨模式融合作为互补的独特特征分离和聚合.
    • 并行模式内自我注意和模式间交叉注意被用来推断独特和互补的特征.
    • 为了抑制冗余性,引入了基于关联的约束,反复的交叉注意力保留了时空依赖.

    主要成果:

    • FEF-Deblur框架有效地分离和聚合互补和独特的特征,抑制模式冗余.
    • 经常性交叉注意力成功地保留了时空信息,这对于移动模糊至关重要.
    • 广泛的实验表明,在合成和现实数据集上,与基于事件和基于图像/视频的最新模糊消除方法相比,性能优越.

    结论:

    • 拟议的FEF-Deblur方法通过有效地融合和事件数据,在事件驱动的运动模糊化方面取得了重大进展.
    • 该框架能够处理模式冗余并捕捉长距离的时空相互作用,这导致了卓越的消除模糊性能.
    • 该方法提供了一个有希望的方向,用于增强使用多式联络传感器数据的运动模糊化.