Merge2-3D: Combining multiple normal maps with 3D surfaces

Sema Berkiten, Xinyi Fan, Szymon Rusinkiewicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We propose an approach to enhance rough 3D geometry with fine details obtained from multiple normal maps. We begin with unaligned 2D normal maps and rough geometry, and automatically optimize the alignments through 2-step iterative registration algorithm. We then map the normals onto the surface, correcting and seamlessly blending them together. Finally, we optimize the geometry to produce high-quality 3D models that incorporate the high-frequency details from the normal maps. We demonstrate that our algorithm improves upon the results produced by some well-known algorithms: Poisson surface reconstruction [1] and the algorithm proposed by Nehab et al. [2].

Original languageEnglish (US)
Title of host publicationProceedings - 2014 International Conference on 3D Vision, 3DV 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages440-447
Number of pages8
ISBN (Electronic)9781479970018
DOIs
StatePublished - Feb 6 2015
Event2014 2nd International Conference on 3D Vision, 3DV 2014 - Tokyo, Japan
Duration: Dec 8 2014Dec 11 2014

Publication series

NameProceedings - 2014 International Conference on 3D Vision, 3DV 2014

Other

Other2014 2nd International Conference on 3D Vision, 3DV 2014
CountryJapan
CityTokyo
Period12/8/1412/11/14

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Keywords

  • 2.5/3D alignment
  • Mesh enhancement
  • Surface normals

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