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Absolute Motion Analysis- General Plane Motion

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...

Relative Motion Analysis - Acceleration

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...

Relative Motion Analysis - Velocity

Relative Motion Analysis - Velocity

A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
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Relative Motion Analysis using Rotating Axes

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.
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Curvilinear Motion: Rectangular Components

Curvilinear Motion: Rectangular Components

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 time...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

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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Related Experiment Video

Updated: Jun 4, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

LCD motion blur: modeling, analysis, and algorithm.

Stanley H Chan¹, Truong Q Nguyen

¹Department of Electrical and Computer Engineering, University of California, San Diego, CA 92093, USA. h5chan@ucsd.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 5, 2011

Summary

This summary is machine-generated.

This study introduces a new model and algorithm to reduce motion blur in liquid crystal displays (LCDs). The improved deblurring method accounts for human eye tracking, enhancing visual clarity for fast-moving objects.

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Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Published on: September 20, 2017

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Last Updated: Jun 4, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Published on: September 20, 2017

Area of Science:

Image processing
Display technology
Computer vision

Background:

Liquid crystal displays (LCDs) suffer from slow response times, causing motion blur for fast-moving objects.
Existing LCD motion blur models do not fully account for human eye-tracking limitations.
The spatiotemporal equivalence in LCD motion blur models lacks direct proof in the discrete 2-D spatial domain.

Purpose of the Study:

To develop a comprehensive LCD motion blur model incorporating human eye-tracking limits.
To analyze and verify the spatiotemporal equivalence of LCD motion blur models.
To propose an efficient algorithm for reducing LCD motion blur.

Main Methods:

A novel LCD motion blur model was developed, integrating human eye-tracking characteristics.
Spatiotemporal equivalence was rigorously analyzed and validated with real video data.
An l(1)-norm regularized least-squares minimization problem was solved using a subgradient projection method for deblurring.

Main Results:

The proposed model accurately reflects LCD motion blur, including human visual system limitations.
Spatiotemporal equivalence was confirmed in the discrete 2-D spatial domain.
The developed deblurring algorithm outperformed state-of-the-art methods in peak SNR, temporal error, and spatial error.

Conclusions:

The new model and deblurring algorithm effectively reduce LCD motion blur.
The findings contribute to improved visual quality in displays, especially for dynamic content.
This work provides a validated framework for understanding and mitigating motion blur in LCDs.