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相关概念视频

Non-uniform Circular Motion01:22

Non-uniform Circular Motion

In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such accelerations...
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the other increases, and...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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 instrumental in...
Circles01:18

Circles

A circle in the coordinate plane is defined as the set of all points that lie at a constant distance, known as the radius, from a fixed point called the center. This relationship is captured using the distance formula. For a point (x, y) on the circle and a center (h, k), the distance between them equals the radius r. By squaring both sides of the distance formula, the equation of the circle is written in standard form:Constructing the Equation from Geometric InformationIf the center and the...

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相关实验视频

Updated: May 10, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

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一种基于圆圈检测的双眼相机校准方法.

Chengli Zhao1, Chenyang Fan2,3, Zhangyan Zhao1

  • 1School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China.

Heliyon
|October 14, 2024
PubMed
概括
此摘要是机器生成的。

本研究提出了一种改进的摄像头校准方法,用于双眼视觉系统. 通过结合捆绑调整和对角约束,它提高了各种工程应用中的测量精度.

关键词:
质量中心质量中心.截面的约束是对角的固体圆圈是一个圆形圆圈.立体声摄像头的校准.

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Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
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相关实验视频

Last Updated: May 10, 2026

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科学领域:

  • 计算机视觉 计算机视觉
  • 计量学 计量学 计量学
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 准确的摄像头校准对于精确的双眼测量至关重要.
  • 现有的方法与可变的环境和工程需求作斗争.
  • 双筒视觉系统需要高校准精度.

研究的目的:

  • 为双眼视觉开发一种改进的相机校准方法.
  • 为了提高校准准确度,超越现有技术.
  • 为了满足可变校准环境和工程应用的需求.

主要方法:

  • 使用张的校准方法进行初始参数估计.
  • 采用改进的Canny边缘检测用于子像素圆中心提取.
  • 应用捆绑调整和对角约束来优化参数.

主要成果:

  • 拟议的方法显著提高了相机校准准确度.
  • 实验结果表明,与现有方法相比,其性能优越.
  • 该技术显示了实际的工程应用价值.

结论:

  • 新的摄像头校准方法提高了双眼视力的精度.
  • 捆绑调整和对角约束有效优化校准参数.
  • 这种方法为苛刻的工程应用提供了有价值的解决方案.