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          Institute: MPI für Informatik     Collection: Computer Graphics Group     Display Documents



ID: 278959.0, MPI für Informatik / Computer Graphics Group
Textures Revisited
Authors:Yamauchi, Hitoshi; Lensch, Hendrik P. A.; Haber, Jörg; Seidel, Hans-Peter
Language:English
Date of Publication (YYYY-MM-DD):2005
Title of Journal:The Visual Computer
Volume:21
Start Page:217
End Page:241
Review Status:Peer-review
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:We describe texture generation methods for complex objects. Recent 3D
scanning devices and high-resolution cameras can
capture complex geometry of an object and provide high-resolution
images. However, generating a textured model from this input
data is still a difficult problem.

This task is divided into three sub-problems: parameterization, texture
combination, and texture restoration. A low distortion parameterization
method is presented, which minimizes geometry stretch
energy. Photographs of the object taken from multiple viewpoints under
modestly uncontrolled illumination conditions are merged into a seamless
texture by our new texture combination method.

We also demonstrate a texture restoration method which can fill in
missing pixel information when the input photographs do not provide
sufficient information to cover the entire surface due to
self-occlusion or registration errors.

Our methods are fully automatic except the registration between a 3D
model with input photographs. We demonstrate the application of our
method to human face models for evaluation. The techniques presented in
this paper make a consistent and complete pipeline to generate a
texture of a complex object.
Last Change of the Resource (YYYY-MM-DD):2006-01-16
External Publication Status:published
Document Type:Article
Communicated by:Hans-Peter Seidel
Affiliations:MPI für Informatik/Computer Graphics Group
Identifiers:LOCALID:C125675300671F7B-AE01F1AE12A2232DC1256FB90052EA12-...
ISSN:0178-2789
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