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Updated: Jun 24, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

An adaptive correspondence algorithm for modeling scenes with strong interreflections.

Yi Xu1, Daniel G Aliaga

  • 1Department of Computer Sciences, Purdue University, West Lafayette, IN 47907, USA. xu43@cs.purdue.edu

IEEE Transactions on Visualization and Computer Graphics
|March 14, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a robust pixel classification algorithm for structured-light systems. It accurately decodes patterns in 3D reconstruction, even with challenging indirect light and inter-reflections.

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Published on: May 20, 2013

Area of Science:

  • Computer Vision
  • Computer Graphics
  • Computational Imaging

Background:

  • 3D scene modeling is crucial for virtual reality and computer graphics.
  • Structured-light systems use projected patterns for 3D reconstruction.
  • Indirect light and inter-reflections complicate pixel classification in these systems.

Purpose of the Study:

  • To develop a robust pixel classification algorithm for structured-light 3D reconstruction.
  • To improve pattern decoding accuracy in the presence of indirect light.
  • To mitigate errors caused by scene inter-reflections.

Main Methods:

  • Establishing intensity bounds for illuminated and non-illuminated pixels.
  • Classifying pixels based on their intensity falling within specific bounds.
  • Applying an iterative algorithm to reduce inter-reflections for uncertain pixels.

Main Results:

  • The proposed method outperforms standard methods by avoiding gross errors from inter-reflections.
  • An iterative refinement process successfully reduces inter-reflections.
  • More points are decoded and reconstructed with each iteration, improving 3D model density.

Conclusions:

  • The developed algorithm offers robust pixel classification for structured-light systems.
  • It effectively handles challenges posed by indirect light and inter-reflections.
  • The iterative approach enhances the accuracy and completeness of 3D reconstructions.