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

Unsoundness of Aggregate due to Volume Change01:26

Unsoundness of Aggregate due to Volume Change

89
Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
89
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

35
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
35
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

479
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
479
Distance Measurements by Taping01:18

Distance Measurements by Taping

21
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
21
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

672
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
672
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

151
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
151

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

MonSter++: Unified Stereo Matching, Multi-View Stereo, and Real-Time Stereo With Monodepth Priors.

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

Anticancer natural products derived from fungi: A review of promising lead compounds.

European journal of medicinal chemistry·2026
Same author

Binary spatial-spectral encoding and decoding for ultra-multiplexed digital PCR: Breaking the fluorescence channel limit.

Biosensors & bioelectronics·2026
Same author

Mitochondrial Dynamics in Cellular Senescence: Mechanisms, Context Dependence, and Therapeutic Potential.

Aging and disease·2026
Same author

A BAI1-PSTB-Hydrogel promotes diabetic wound healing by targeting mtDNA leakage and the cGAS-STING axis to alleviate endothelial senescence.

Bioactive materials·2026
Same author

Therapeutic potential of ADAR1-regulated macrophage exosomes for improving myocardial damage in septic cardiomyopathy.

Journal of nanobiotechnology·2026
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

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

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

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

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

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

相关实验视频

Updated: May 14, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

1.9K

IGEV++:用于立体声匹配的代式多范围几何编码卷.

Gangwei Xu, Xianqi Wang, Zhaoxing Zhang

    IEEE transactions on pattern analysis and machine intelligence
    |May 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    IGEV++通过引入多范围几何编码卷 (MGEV) 来增强立体匹配,以有效处理具有巨大差异和模糊性的具有挑战性的区域. 这种新的深度网络在多个基准上取得了最先进的结果,包括实时版本.

    更多相关视频

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
    14:14

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

    Published on: April 16, 2017

    11.5K
    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
    08:04

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

    Published on: December 4, 2013

    4.4K

    相关实验视频

    Last Updated: May 14, 2025

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    1.9K
    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
    14:14

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

    Published on: April 16, 2017

    11.5K
    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
    08:04

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

    Published on: December 4, 2013

    4.4K

    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
    • 深度学习 (Deep Learning) 是一种深度学习.

    背景情况:

    • 立体声匹配对于计算机视觉和机器人技术至关重要.
    • 处理不利地区的模两可和巨大的差异仍然是一个重大挑战.

    研究的目的:

    • 提出IGEV++,一种新的深度网络架构,用于改进立体声匹配.
    • 解决当前立体声匹配方法的局限性,特别是在具有挑战性的场景中.

    主要方法:

    • 引入多范围几何编码卷 (MGEV) 来编码多颗粒度几何信息.
    • 开发一种适应性补丁匹配模块,用于在很大的差异范围内高效的成本计算.
    • 利用选择性几何特征融合模块和ConvGRUs用于代差异图的精细化.

    主要成果:

    • 在Scene Flow,Middlebury,ETH3D和KITTI的基准标准上,IGEV++实现了最先进的性能.
    • 与现有方法相比,在大差异基准指标上显示出显著的错误减少.
    • IGEV++的实时版本在已发布的实时立体声匹配方法中实现了最高性能.

    结论:

    • IGEV++有效地处理了很大的差异和位置不佳的区域,从而实现了卓越的立体声匹配精度.
    • 拟议的MGEV方法提供了高效的处理和快速的融合.
    • IGEV++代表了计算机视觉和机器人应用的立体声匹配技术的重大进步.