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  Image-Based Reconstruction of Spatial Appearance and Geometric Detail

Lensch, H. P. A., Kautz, J., Goesele, M., Heidrich, W., & Seidel, H.-P. (2003). Image-Based Reconstruction of Spatial Appearance and Geometric Detail. ACM Transactions on Graphics, 22, 234-257.

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Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
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 Creators:
Lensch, Hendrik P. A.1, Author           
Kautz, Jan1, Author           
Goesele, Michael1, Author           
Heidrich, Wolfgang1, Author           
Seidel, Hans-Peter1, Author           
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: Real-world objects are usually composed of a number of different materials that often show subtle changes even within a single material. Photorealistic rendering of such objects requires accurate measurements of the reflection properties of each material, as well as the spatially varying effects. We present an image-based measuring method that robustly detects the different materials of real objects and fits an average bidirectional reflectance distribution function (BRDF) to each of them. In order to model local changes as well, we project the measured data for each surface point into a basis formed by the recovered BRDFs leading to a truly spatially varying BRDF representation. Real-world objects often also have fine geometric detail that is not represented in an acquired mesh. To increase the detail, we derive normal maps even for non-Lambertian surfaces using our measured BRDFs. A high quality model of a real object can be generated with relatively little input data. The generated model allows for rendering under arbitrary viewing and lighting conditions and realistically reproduces the appearance of the original object.

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Language(s): eng - English
 Dates: 2004-06-302003
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 201970
Other: Local-ID: C125675300671F7B-9DC8FDDC048DDFADC1256C5B002F0FA3-Lensch:IRS:2003
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Title: ACM Transactions on Graphics
Source Genre: Journal
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Pages: - Volume / Issue: 22 Sequence Number: - Start / End Page: 234 - 257 Identifier: -