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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

34
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...
34
Distance Measurements by Taping01:18

Distance Measurements by Taping

35
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...
35
Distance Corrections01:15

Distance Corrections

28
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...
28
Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

92
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
92
Latitudes and Departures01:27

Latitudes and Departures

83
Latitudes and departures are essential concepts in surveying, providing a systematic way to analyze the projections of traverse lines. These projections allow surveyors to interpret a line's north-south and east-west components, which are crucial for precisely calculating areas, bearings, and lengths. Latitude is the north-south projection of a line, calculated as the product of the line's length and the cosine of its bearing. Departure, conversely, is the east-west projection obtained by...
83
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

72
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
72

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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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Published on: April 18, 2025

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CAP-UDF:从原始点云逐渐学习未签名距离函数,使用一致性意识的现场优化.

Junsheng Zhou, Baorui Ma, Shujuan Li

    IEEE transactions on pattern analysis and machine intelligence
    |April 22, 2024
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    此摘要是机器生成的。

    本研究介绍了CAP-UDF,这是一种从点云进行表面重建的新方法. 它学习一致性意识的无符号距离函数 (UDF),以准确地表示开放的表面,改进3D计算机视觉任务.

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    科学领域:

    • 3D 计算机视觉 3D 计算机视觉
    • 几何深度学习 几何深度学习
    • 表面重建 表面重建

    背景情况:

    • 当前的表面重建方法通常依赖于已签名的距离函数,将其限制在封闭的表面上.
    • 无符号距离函数 (UDF) 可以表示开放的表面,但由于点云不连续性,它们难以平滑.
    • 现有的UDF学习方法在从原始点云中产生平滑的距离场面方面面临着挑战.

    研究的目的:

    • 提出CAP-UDF,一种用于从原始点云中学习一致性感知无符号距离函数 (UDF) 的新方法.
    • 为了能够准确地重建开放和关闭的表面.
    • 为了提高点云数据的学习距离场的流性和准确性.

    主要方法:

    • 通过对查询点强制执行字段一致性约束来学习一致性意识的UDF.
    • 训练神经网络以动态推断查询到表面的关系,以进行渐进的表面估计.
    • 使用基于学习的UDF梯度的新型多边化算法进行表面提取.

    主要成果:

    • CAP-UDF从各种点云来源 (原始,扫描,深度地图) 的表面重建中显示出显著的改进.
    • 与现有的表面重建技术相比,该方法实现了最先进的性能.
    • 扩展的实验显示了在无监督的点正常估计中具有竞争力的性能.

    结论:

    • CAP-UDF有效地解决了以前基于UDF的表面重建方法的局限性.
    • 提出的一致性意识的学习方法产生了更准确和更光滑的表面表示.
    • CAP-UDF为涉及点云表面重建的3D计算机视觉任务提供了强大而通用的解决方案.