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  BRDF Reconstruction from Video Streams of Multi-View Recordings

Ahmed, N. (2004). BRDF Reconstruction from Video Streams of Multi-View Recordings. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2A42-A Version Permalink: https://hdl.handle.net/21.11116/0000-0003-0128-F
Genre: Thesis
Latex : {BRDF} Reconstruction from Video Streams of Multi-View Recordings

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Masterarbeit-Ahme-Nave-2004.pdf (Any fulltext), 791KB
 
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 Creators:
Ahmed, Naveed1, Author           
Lensche, Hendrik2, Advisor
Magnor, Marcus A.3, Referee           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              
3Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              

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 Abstract: Synthesizing photorealistic images is an active area of research in computer
graphics. Image based rendering combined with inverse rendering methods is used
to generate photorealistic images from real world images under novel
illumination conditions. Traditionally, very high-quality real world images of
static objects, obtained under known viewing and lighting conditions are used
in inverse rendering for the measurement of surface reflectance properties.
This thesis focuses on surface material reconstruction of dynamic objects from
video streams of multi-view recordings. Working with fairly low resolution
movie streams of a dynamic object recorded in known viewing conditions and a
geometry model tracked through all time steps, we approximate the best light
source configuration, and measure the bidirectional reflectance distribution
function of the object. We construct diffuse and specular maps for the whole
sequence, and a diffuse correction map for each time step. We have applied our
method to sequences of a human actor and are now able to synthesize views of
the actor in arbitrary poses under arbitrary lighting conditions.

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Language(s): eng - English
 Dates: 20042004
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231919
Other: Local-ID: C125675300671F7B-FB330D42C79FCE5BC1256F870041E593-Naveed:MT:2004
 Degree: Master

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