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相关概念视频

Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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...
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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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Uniform Depth Channel Flow01:27

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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相关实验视频

Updated: Jul 22, 2025

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
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使用相互信息和贝叶斯优化,对部分封闭物体进行3D整体成像深度估计.

Pranav Wani, Bahram Javidi

    Optics express
    |July 21, 2023
    PubMed
    概括

    整体成像 (InIm) 增强了3D对象定位和深度估计,用于封闭的对象. 贝叶斯优化显著减少了准确的被动范围所需的3D重建.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算机视觉 计算机视觉
    • 三维重建的3D重建

    背景情况:

    • 整体成像 (InIm) 能够实现被动测距和3D可视化,特别是对于部分封闭的物体.
    • 目前用于3D对象定位和深度估计的方法通常需要大量的3D场景重建.

    研究的目的:

    • 改进整体成像 (InIm) 用于部分遮蔽物体的被动深度估计.
    • 为了尽量减少使用贝叶斯优化所需的3D场景重建的数量.

    主要方法:

    • 使用贝叶斯优化来改进InIm.Im中的基于相互信息 (MI) 的深度估计.
    • 评估了各种内核函数,获取函数和参数估计算法,用于贝叶斯优化.
    • 进行光学实验以验证拟议的方法.

    主要成果:

    • 实现了对隐蔽物体的准确深度估计,并且有显著较少的3D重建.
    • 证明了贝叶斯优化在优化InIm过程中的有效性.
    • 成功执行了对象的同时深度估计和封闭.

    结论:

    • 贝叶斯优化为基于InIm的被动深度估计提供了一种计算效率高的方法.

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  • 本研究介绍了贝叶斯优化对基于MI的InIm深度估计的首次应用.
  • 拟议的方法提升了封闭场景的3D可视化和测距能力.