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相关概念视频

Differential Leveling01:12

Differential Leveling

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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
319
Distance Corrections01:15

Distance Corrections

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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...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
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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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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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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...
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Stereoisomers02:32

Stereoisomers

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On the basis of mirror symmetry, stereoisomers of an organic molecule can be further classified into diastereomers and enantiomers. Diastereomers are stereoisomers that are not mirror images of each other. Substituted alkenes, such as the cis and trans isomers of 2-butene, are diastereomers, as these molecules exhibit different spatial orientations of their constituent atoms, are not mirror images of each other, and do not interconvert. Here, the interconversion is suppressed due to...
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Updated: Sep 16, 2025

Stereoacuity Improvement using Random-Dot Video Games
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适应性支持基于重量的立体声匹配与代差异精细化.

Alexander Richter1,2, Till Steinmann1, Andreas Reichenbach1

  • 1Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering, Albert-Ludwigs-Universität Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种用于微创手术的新实时3D重建方法. 新型立体相匹配算法增强了深度感知和外科导航,克服了内镜成像挑战.

关键词:
计算机视觉 计算机视觉医学内镜医学内镜微创手术是最少的侵入性手术.实时3D重建实时3D重建

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相关实验视频

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科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 手术技术 手术技术

背景情况:

  • 最少侵入性手术 (MIS) 从实时3D重建中受益,以改善深度感知和导航.
  • 在MIS中的内镜成像面临着诸如镜面反射,低质感和组织变形等挑战.

研究的目的:

  • 开发一种新的,决定性的和代的立体匹配方法,用于在MIS中准确的实时3D重建.
  • 为了解决内镜成像的特殊限制,以改善外科可视化.

主要方法:

  • 开发了一种使用自适应支权重的确定性和代立体匹配算法.
  • 该方法在CUDA和C++中实现了实时性能.
  • 在立体对应和内镜数据重建 (SCARED) 数据集和定制合成数据集上进行了评估.

主要成果:

  • 在SCARED数据集8和9上,该方法在24.9FPS时分别达到3.79mm和3.61mm的平均绝对误差 (MAE).
  • 在合成数据上,该方法表明MAE为140.06μm,根平均平方误差 (RMSE) 为251.9μm.
  • 在具有挑战性的内镜条件下,性能与现有的决定性立体匹配方法相比或超过.

结论:

  • 开发的方法为MIS提供了准确,确定性,实时的深度估计.
  • 它为单拍3D重建,立体拼接和全场景建模提供了基础.
  • 潜在的应用包括整合到外科导航,机器人辅助和增强现实系统中.