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A seamless texture color adjustment method for large-scale terrain reconstruction

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Published:12 August 2018Publication History

ABSTRACT

We present a technique to generate realistic high quality texture with no seams suitable to reconstruct large-scale 3D terrains. We focused on adjusting color difference caused by camera variations and illumination transition for texture reconstruction pipelines. Seams between separated processing areas should also be considered important in large terrain models. The proposed technique corrects these problems by normalizing texture colors and interpolating texture adjustment colors.

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References

  1. Michael Waechter, Nils Moehrle and Michael Goesele. 2014. Let There Be Color! Large-Scale Texturing of 3D Reconstructions. ECCV 2014, pp 836--850Google ScholarGoogle ScholarCross RefCross Ref
  2. Faust Bernardiní, Ioana. M. Martin and Holly Rushmeier. 2001. High-Quality Texture Reconstruction from Multiple Scans. IEEE Transactions on Visualization and Computer Graphics, Volume 7, Issue 4, pages 318--332 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Kai Hormann and Michael. S. Floater. 2006. Mean Value Coordinates for arbitrary planar polygons, Journal ACM Transactions on Graphics(TOG), Volume 25, Issue 4, pages 1424--1441 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. A seamless texture color adjustment method for large-scale terrain reconstruction

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
      August 2018
      148 pages
      ISBN:9781450358170
      DOI:10.1145/3230744

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2018

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      Acceptance Rates

      Overall Acceptance Rate1,822of8,601submissions,21%

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