Datensatz

Zusammenfassung

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.