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Related Experiment Video

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Color Photometric Stereo Using Multi-Band Camera Constrained by Median Filter and Occluding Boundary.

Daisuke Miyazaki1, Yuka Onishi1, Shinsaku Hiura2

  • 1Graduate School of Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan.

Journal of Imaging
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

Color photometric stereo enables one-shot surface-normal estimation for multicolored objects by using a median filter for albedo and occluding boundary constraints. This method preserves sharp features and provides an initial surface-normal guess.

Keywords:
color photometric stereomultispectral imagingphotometric stereo

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Area of Science:

  • Computer Vision
  • Photometry
  • Surface Reconstruction

Background:

  • Photometric stereo requires multiple measurements from different light directions.
  • Color photometric stereo offers one-shot measurements but is limited to white objects.
  • Estimating surface normals for multicolored objects using classic color photometric stereo is theoretically impossible.

Purpose of the Study:

  • To develop a method for surface-normal estimation of multicolored objects using color photometric stereo.
  • To introduce constraints to overcome the limitations of the classic color photometric stereo method.
  • To enable accurate surface-normal estimation for objects with varying albedo.

Main Methods:

  • Employed a median filter as a constraint for albedo to ensure smooth distribution while preserving sharp features.
  • Utilized the surface normal at the occluding boundary as a constraint for surface normal estimation.
  • Propagated boundary surface normals into the object region to provide an initial guess.
  • Used a multispectral photometric stereo device with seven colors for enhanced measurement capabilities.

Main Results:

  • Successfully calculated smooth albedo and normal distributions while preserving sharp boundaries.
  • Demonstrated that occluding boundary surface normals provide effective initial guesses for the overall shape.
  • Validated the method's effectiveness using a seven-color multispectral photometric stereo system.

Conclusions:

  • The proposed constrained color photometric stereo method accurately estimates surface normals for multicolored objects.
  • The integration of median filtering and boundary normal propagation overcomes previous theoretical limitations.
  • This approach enhances the applicability of photometric stereo techniques to complex, real-world objects.