Textures revisited

Hitoshi Yamauchi

doi:10.1007/s00371-005-0283-5

Textures revisited

2005-05-01

5

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AI

DOI：10.1007/s00371-005-0283-5

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Abstract

En 中文

We describe texture generation methods for complex objects. Recently developed 3D scanning devices and high-resolution cameras can capture the complex geometry of an object and yield high-resolution images. However, generating a textured model from this input data is still a difficult problem. This task is divided into three subproblems: 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 using our new texture combination method. We also demonstrate a texture restoration method that 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 for the registration process between a 3D model and 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 the texture of a complex object.

Keywords:

multiresolution texture synthesis

mesh parameterization

image inpainting

image restoration

facial modeling

frequency decomposition

Textures revisited

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