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Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
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Object Distance Estimation Using a Single Image Taken from a Moving Rolling Shutter Camera.

Namhoon Kim1, Junsu Bae1, Cheolhwan Kim1

  • 1School of Civil and Environmental Engineering, Yonsei University, Seodaemun-gu, Seoul 03722, Korea.

Sensors (Basel, Switzerland)
|July 16, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for estimating object distance from a single image using the rolling shutter effect (RSE). The technique accurately measures distances up to 10m, offering a mathematically robust alternative for computer vision applications.

Keywords:
distance estimationjello effectrolling shutter camerarolling shutter effectsingle photo

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Area of Science:

  • Computer Vision
  • Photogrammetry
  • Robotics

Background:

  • Estimating object distance from single images is crucial for autonomous systems.
  • Existing methods often lack accuracy or require multiple images.
  • Rolling shutter cameras introduce unique distortions that can be leveraged.

Purpose of the Study:

  • To develop and validate a single-image distance estimation technique.
  • To utilize the rolling shutter effect (RSE) for geometric distance calculation.
  • To provide a mathematically robust method compared to existing approaches.

Main Methods:

  • Derived a mathematical model relating object distance to RSE angle.
  • Incorporated camera parameters (focal length, shutter speed, image size).
  • Validated the model experimentally using a DSLR camera on a moving vehicle.

Main Results:

  • The proposed mathematical model accurately estimates object distance.
  • Distance estimation error remained stable at ~10 cm with varying speeds.
  • Accuracy decreased significantly for distances beyond 10 meters due to RSE sensitivity.

Conclusions:

  • The RSE-based technique offers a viable method for single-image distance estimation.
  • The model is effective for short to medium ranges (up to 10m).
  • Further research is needed to address limitations at greater distances.