Fast Texture Mapping Adjustment via Local/Global Optimization

Wei Li, Huajun Gong, Ruigang Yang

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This paper deals with the texture mapping of a triangular mesh model given a set of calibrated images. Different from the traditional approach of applying projective texture mapping with model parameterizations, we develop an image-space texture optimization scheme that aims to reduce visible seams or misalignment at texture or depth boundaries. Our novel scheme starts with an efficient local (and parallel) texture adjustment scheme at these boundaries, followed by a global correction step to rectify potential texture distortions caused by the local movement. Our phased optimization scheme achieves 50∼∼100 times speed up on GPU (or 6× on CPU) compared to previous state-of-the-art methods. Experiments on a variety of models showed that we achieve this significant speed-up without sacrificing texture quality. Our approach significantly improves resilience to modeling and calibration errors, thereby allowing fast and fully automatic creation of textured models using commodity depth sensors by untrained users.

Original languageEnglish
Article number8352725
Pages (from-to)2296-2303
Number of pages8
JournalIEEE Transactions on Visualization and Computer Graphics
Volume25
Issue number6
DOIs
StatePublished - Jun 1 2019

Bibliographical note

Publisher Copyright:
© 1995-2012 IEEE.

Keywords

  • Texture mapping
  • parameterization
  • texture optimization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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