Capturing shape and reflectance of food

Authors:
Christopher Schwartz;Michael Weinmann;Roland Ruiters;Arno Zinke;Ralf Sarlette;Reinhard Klein
Affiliations:
University of Bonn;University of Bonn;University of Bonn;GfaR mbH;University of Bonn;University of Bonn
Venue:
SIGGRAPH Asia 2011 Sketches
Year:
2011

Citing 3
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Abstract

Photo-realistic 3D content is crucial for creating convincing digital images. For certain classes of everyday objects, such as food, the human perception is sensitive to even small inconsistencies, making the creation of such content difficult and time-consuming, even for experts. In this sketch, we will explore the use of an automated pipeline for capturing 3D shape and Bidirectional Texture Function of food. The acquired data is used to render photo-realistic images of purely virtual objects under arbitrary lighting and with full global illumination.