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  Textures Revisited

Yamauchi, H., Lensch, H. P. A., Haber, J., & Seidel, H.-P. (2005). Textures Revisited. The Visual Computer, 21, 217-241.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-27DF-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-27E0-B
Genre: Journal Article

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MU3827657H27357M.pdf (Publisher version), 2MB
 
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 Creators:
Yamauchi, Hitoshi1, Author           
Lensch, Hendrik P. A.1, Author           
Haber, Jörg1, Author           
Seidel, Hans-Peter1, Author           
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2006-01-162005
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 278959
Other: Local-ID: C125675300671F7B-AE01F1AE12A2232DC1256FB90052EA12-Yamauchi:TR
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Title: The Visual Computer
Source Genre: Journal
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Pages: - Volume / Issue: 21 Sequence Number: - Start / End Page: 217 - 241 Identifier: ISSN: 0178-2789