PROBABILISTIC APPROACH TO DOMAIN SELECTION FOR INTEGRATING THE NORMAL’S FIELD IN 3D RECONSTRUCTION

Authors

  • Bogdan Rusyn
  • Oleksiy Lutsyk
  • Yarema Varetskyy

DOI:

https://doi.org/10.47839/ijc.14.1.649

Keywords:

3D reconstruction, photometric stereo, normal integration, classification, normals field.

Abstract

The method of integrating normal’s field is improved by using the proposed algorithm for breaking local areas based on Schwartz equations. It was proposed local criteria of splitting normal’s onto local areas, which is crucial for the next step of building the sequence chain. The process of classification in case of reducing the training set to select regions of integration is investigated. The reason for the effect of retraining is conditioned with a minimal number of errors on the training sample. It is shown that stratification of algorithms by mistakes and increasing their similarities reduce the likelihood of the retraining. Proposed approaches are implemented as a software and are suitable for the broad class of real surfaces.

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Published

2014-08-01

How to Cite

Rusyn, B., Lutsyk, O., & Varetskyy, Y. (2014). PROBABILISTIC APPROACH TO DOMAIN SELECTION FOR INTEGRATING THE NORMAL’S FIELD IN 3D RECONSTRUCTION. International Journal of Computing, 14(1), 30-35. https://doi.org/10.47839/ijc.14.1.649

Issue

2015, Volume 14, Issue 1

Section

Articles

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