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Related Concept Videos

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.
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Relative Motion Analysis - Acceleration01:10

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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 using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Relative Motion Analysis using Rotating Axes - Acceleration01:22

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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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
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Curvilinear Motion: Rectangular Components

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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Analysis and compensation of rolling shutter effect.

Chia-Kai Liang1, Li-Wen Chang, Homer H Chen

  • 1Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan. liangck@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 18, 2008
PubMed
Summary

Electronic rolling shutter causes image distortion during motion. This study presents a new image processing technique using a planar motion model to effectively correct these geometric distortions without complex 3-D correspondences.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Sensor Technology

Background:

  • Complementary Metal-Oxide Semiconductor (CMOS) image sensors utilize a sequential readout, exposing scanlines at different times.
  • This leads to the electronic rolling shutter effect, causing geometric image distortion when there is relative motion between the camera and the scene.
  • Existing methods often rely on complex 3-D feature correspondences, limiting their practical application.

Purpose of the Study:

  • To propose a novel image processing technique for correcting geometric distortions induced by the electronic rolling shutter.
  • To develop a method that avoids complex 3-D feature correspondences for distortion analysis.
  • To achieve high-resolution velocity estimation for accurate image restoration.

Main Methods:

  • A planar motion model is employed for analyzing inter- and intra-frame distortions.
  • Global motion estimation, Bézier curve fitting, and local motion estimation are utilized.
  • The method achieves high-resolution velocity estimates without requiring correspondence identification.

Main Results:

  • The proposed technique effectively addresses geometric image distortion caused by the electronic rolling shutter.
  • High-resolution velocity estimates are successfully obtained through the integrated motion estimation process.
  • Experimental results validate the algorithm's effectiveness in correcting rolling shutter artifacts.

Conclusions:

  • The developed image processing technique offers a simpler and effective solution for rolling shutter distortion.
  • The method demonstrates robustness by avoiding complex feature correspondence calculations.
  • This approach contributes to improved image quality in applications involving moving objects or cameras with CMOS sensors.