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Home Search Quick Search Advanced Fulltext Browse Collections Persons My eDoc Session History Login Name: Password: Documentation Help Support Wiki Direct access to document ID:	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 Full Text: Sorry, no privileges The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.