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Depth-Dependent High Distortion Lens Calibration.

Carlos Ricolfe-Viala1, Alicia Esparza2

  • 1Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

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Summary
This summary is machine-generated.

This study introduces a new depth-dependent lens distortion model for highly distorted images. The modified division model improves camera calibration accuracy by considering the distance to the calibration template.

Keywords:
camera calibrationdepth dependencehigh distortion

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Area of Science:

  • Computer Vision
  • Optical Engineering
  • Image Processing

Background:

  • Accurate image correction is challenging due to complex lens distortions.
  • Existing lens distortion models often ignore camera-calibration template distance.
  • Depth dependency of lens distortion has been noted but not extensively studied in highly distorted images.

Discussion:

  • This paper analyzes depth dependency in strongly distorted images.
  • A modified division model, previously used for high distortion, is adapted for depth-dependent modeling.
  • The proposed method accounts for varying distances to the calibration template.

Key Insights:

  • A novel depth-dependent high distortion lens model is proposed.
  • The modified division model effectively represents high distortion with a single parameter.
  • The new calibration method demonstrates superior accuracy compared to existing techniques.

Outlook:

  • Further validation across diverse lens types and distortion levels is recommended.
  • Integration of this depth-aware model into real-time imaging systems could enhance performance.
  • Exploration of this model's applicability in augmented reality and robotics is a potential future direction.