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相关概念视频

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

119
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
119
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

900
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.
900
Distance Corrections01:15

Distance Corrections

81
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
81
Distance Measurements by Taping01:18

Distance Measurements by Taping

97
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...
97
Dot Product: Problem Solving01:21

Dot Product: Problem Solving

430
The dot product is a powerful tool in problem-solving involving vectors, given that the dot product of two vectors is the product of their magnitudes and the cosine of the angle between them measured anti-clockwise. Solving problems involving the dot product requires understanding its properties and developing a step-by-step process to solve them. Here are the main steps to follow when solving any general problem involving the dot product:
Identify the problem: Start by reading the problem and...
430
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

129
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
129

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相关实验视频

Updated: Sep 10, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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I-过:从3D点云学习神经距离函数的隐式过

Shengtao Li, Yudong Liu, Ge Gao

    IEEE transactions on pattern analysis and machine intelligence
    |August 26, 2025
    PubMed
    概括

    这项研究为神经隐性函数引入了一种新的隐性过器,增强了从点云中重建形状的几何细节保存. 这种方法提高了表面准确性,并扩展到稀疏视图重建等任务.

    科学领域:

    • 计算机视觉
    • 计算机图形
    • 几何深度学习

    背景情况:

    • 神经隐含函数如有符号的距离函数 (SDF) 和无符号的距离函数 (UDF) 在形状几何拟合方面表现出色.
    • 从离散的,无定向的点云推断连续的距离场仍然具有挑战性,通常会导致粗的表面错过细微的几何细节.

    研究的目的:

    • 提出一种新的非线性隐性过器,用于平滑隐性场,同时保留高频几何细节.
    • 将隐式过扩展到非零级集合,以使零级集合的一致规范化.
    • 通过渐变不变的训练方案适应UDF的过方法,并改进稀疏视图重建.

    主要方法:

    • 建议采用非线性隐性波器,通过使用邻点和SDF的梯度过表面 (零级集) 来平滑隐性场.
    • 通过沿着梯度移动输入点云,将过扩展到非零水平集,确保跨水平集的一致性.
    • 开发了一个梯度不变的训练方案,将波器应用于UDF,以解决零级设置中的非可区分性.

    主要成果:

    • 拟议的隐性过方法有效地平滑隐性字段,同时保留边缘和角落等精细的几何细节.
    • 该方法在对象,复杂场景和多视图的表面重建方面表现得更好.
    • 与最先进的方法相比,在稀疏视图重建,点正常估计和点云上采样任务中观察到显著的改进.

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    结论:

    • 新的隐性过器提高了神经隐性功能的准确性和细节保存,用于3D形状表示.
    • 梯度不变训练方案成功地适应了UDF的过技术,扩大了其适用性.
    • 该方法为各种几何深度学习任务提供了强大的解决方案,包括重建,正常估计和提升样本.