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BRDF Reconstruction from Video Streams of Multi-View Recordings

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons43978

Ahmed,  Naveed
Computer Graphics, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

Magnor,  Marcus A.
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

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Citation

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


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-2A42-A
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.