Texture amendment: reducing texture distortion in constrained parameterization

Authors:
Yu-Wing Tai;Michael S. Brown;Chi-Keung Tang;Heung-Yeung Shum
Affiliations:
National University of Singapore;National University of Singapore;The Hong Kong University of Science and Technology;Microsoft Research Asia
Venue:
ACM SIGGRAPH Asia 2008 papers
Year:
2008

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Abstract

Constrained parameterization is an effective way to establish texture coordinates between a 3D surface and an existing image or photograph. A known drawback to constrained parameterization is visual distortion that arises when the 3D geometry is mismatched to highly textured image regions. This paper introduces an approach to reduce visual distortion by expanding image regions via texture synthesis to better fit the 3D geometry. The result is a new amended texture that maintains the essence of the input texture image but exhibits significantly less distortion when mapped onto the 3D model.