MPI für Informatik / Computer Graphics Group |
|Authors:||Yamauchi, Hitoshi; Lensch, Hendrik P. A.; Haber, Jörg; Seidel, Hans-Peter|
|Date of Publication (YYYY-MM-DD):||2005|
|Title of Journal:||The Visual Computer|
|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|
|Communicated by:||Hans-Peter Seidel|
|Affiliations:||MPI für Informatik/Computer Graphics Group|
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