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Title: Texture amendment: Reducing texture distortion in constrained parameterization
Authors: Tai, Y.-W.
Brown, M.S. 
Tang, C.-K.
Shum, H.-Y.
Keywords: Image enhancement
Texture synthesis
Issue Date: 2008
Source: Tai, Y.-W.,Brown, M.S.,Tang, C.-K.,Shum, H.-Y. (2008). Texture amendment: Reducing texture distortion in constrained parameterization. ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia'08. ScholarBank@NUS Repository.
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. © 2008 ACM.
Source Title: ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia'08
ISBN: 9781450318310
Appears in Collections:Staff Publications

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