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相关概念视频

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

519
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
519
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

354
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
354
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

505
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
505
Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

429
When a car traverses a curved road, its motion can be elucidated by breaking it down into tangential and normal components. The car-centric coordinates attached to the vehicle move with it.
The positive direction of the t-axis aligns with the increasing position of the car along the curved path, denoted by the unit vector ut. Simultaneously, the n-axis, perpendicular to the t-axis, dissects the curved path into differential arc segments, each forming the arc of a circle with a radius of...
429
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

425
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...
425
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

490
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...
490

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Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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对于近中心摄像系统的非代通用摄像机模型.

Taehyeon Choi1, Seongwook Yoon1, Jaehyun Kim1

  • 1School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

这项研究引入了非中心摄像头的新摄像头校准方法,提高了准确性和速度. 该方法使用稀疏点和光滑的3D残余框架进行高效和精确的摄像机模型校准.

科学领域:

  • 计算机视觉 计算机视觉
  • 几何建模 几何建模

背景情况:

  • 传统的摄像机校准方法与非中心摄像机模型相斗争.
  • 一般化的摄像机模型需要密集点,并且计算密集.

研究的目的:

  • 为近中心摄像头开发一种高效准确的校准方法.
  • 为了解决现有的代和密度点依赖校准技术的局限性.

主要方法:

  • 提出了一种使用稀疏观察点的非代射线校正方法.
  • 建立了一个光滑的三维 (3D) 残余框架.
  • 使用局部逆距离权重进行剩余插值.

主要成果:

  • 实现了快速而准确的摄像机校准.
  • 在的盾牌数据集上,降低了约63%的深度误差.
  • 与代方法相比,证明了两次数量级的速度改善.

结论:

  • 拟议的非代方法为近中心相机校准提供了计算效率高,准确的解决方案.
  • 平滑的3D余向量提供比2D实体更准确的射线方向表示.
关键词:
这是一个3D测量.摄像头的校准 摄像头的校准卡塔迪奥普特里克摄像机模型鱼眼摄像机模型一般化的相机模型.射线的折射 接近中心的摄像机模型.立体声摄像头的校准.透明的盾牌是透明的盾牌.

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