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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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Error analysis of surface normals determined by radiometry.

R Ray1, J Birk, R B Kelley

  • 1Object Recognition Systems, Inc., Princeton, NJ 08540.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a method for computing surface normals from three images under varied lighting, minimizing errors. The technique achieves accurate surface angle computation, even for complex surfaces, with error prevention strategies.

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Area of Science:

  • Computer Vision
  • Optical Metrology
  • Surface Analysis

Background:

  • Surface normal estimation is crucial for 3D reconstruction and analysis.
  • Traditional methods often require surface continuity or are sensitive to various error sources.
  • Radiometric methods face challenges from lighting, material properties, and system calibration.

Purpose of the Study:

  • To develop a robust method for computing surface normals from multi-light images.
  • To analyze and mitigate systematic errors affecting radiometric surface normal estimation.
  • To validate the accuracy of the proposed method on diverse workpieces.

Main Methods:

  • Utilizing three images of a workpiece under distinct lighting conditions.
  • Implementing error prevention and calibration schemes to enhance accuracy.
  • Deriving equations to quantify the sensitivity of surface normals to error sources.

Main Results:

  • Surface normals computed without requiring surface continuity.
  • Demonstrated accuracy within 5° for surface angles off the camera axis on a nylon sphere.
  • Identified and quantified major error sources impacting surface normal estimation.

Conclusions:

  • The proposed method offers a viable approach for surface normal computation from multi-light images.
  • Error analysis provides insights for improving the robustness of radiometric techniques.
  • The method shows promise for application on non-Lambertian and textured surfaces.