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  Capturing and Reconstructing the Appearance of Complex 3D Scenes

Fuchs, C. (2009). Capturing and Reconstructing the Appearance of Complex 3D Scenes. PhD Thesis, Universität des Saarlandes, Saarbrücken.

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資料種別: 学位論文
LaTeX : Capturing and Reconstructing the Appearance of Complex {3D} Scenes

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thesis_cfuchs.pdf (出版社版), 57MB
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https://hdl.handle.net/11858/00-001M-0000-000F-17C7-4
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thesis_cfuchs.pdf
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 作成者:
Fuchs, Christian1, 2, 著者           
Seidel, Hans-Peter1, 学位論文主査                 
Lensch, Hendrik P. A.1, 監修者           
所属:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              

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 要旨: In this thesis, we present our research on new acquisition methods for reflectance properties of real-world objects. Specifically, we first show a method for acquiring spatially varying densities in volumes of translucent, gaseous material with just a single image. This makes the method applicable to constantly changing phenomena like smoke without the use of high-speed camera equipment. Furthermore, we investigated how two well known techniques -- synthetic aperture confocal imaging and algorithmic descattering -- can be combined to help looking through a translucent medium like fog or murky water. We show that the depth at which we can still see an object embedded in the scattering medium is increased. In a related publication, we show how polarization and descattering based on phase-shifting can be combined for efficient 3D~scanning of translucent objects. Normally, subsurface scattering hinders the range estimation by offsetting the peak intensity beneath the surface away from the point of incidence. With our method, the subsurface scattering is reduced to a minimum and therefore reliable 3D~scanning is made possible. Finally, we present a system which recovers surface geometry, reflectance properties of opaque objects, and prevailing lighting conditions at the time of image capture from just a small number of input photographs. While there exist previous approaches to recover reflectance properties, our system is the first to work on images taken under almost arbitrary, changing lighting conditions. This enables us to use images we took from a community photo collection website.

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言語: eng - English
 日付: 2009-05-2920092009
 出版の状態: 出版
 ページ: -
 出版情報: Saarbrücken : Universität des Saarlandes
 目次: -
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 識別子(DOI, ISBNなど): eDoc: 520445
その他: Local-ID: C125675300671F7B-85B64E48E51CA543C12576C700357A64-Fuchs2009:Thesis
 学位: 博士号 (PhD)

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