Efficient Representation of Captured Geometry and Reflectance

Beschreibung

Having a digital representation of physical objects is desirable whenever realistic images of these objects need to be synthesized. This is the case for a large variety of use-cases including cultural heritage preservation, e-Commerce and the production of movies. A digital representation should be compact, yet powerful enough to accurately resemble every single aspect defining the appearance of the physical counterpart. This visual appearance is mainly determined by the overall shape of the object and the interactions of its surface materials with incident light. We refer to the first property as geometry and to the latter as reflectance. The work presented in this thesis is driven by the recent technical development of acquisition devices which enable synchronous acquisition of object geometry and reflectance properties. We propose a novel methodology for the processing of raw data acquired by such devices that yields a compact, digital object representation and allows synthesizing realistic images of the acquired object under arbitrary, user-defined viewing and lighting conditions. The particularly novel aspect of our work is that we set great value upon the robustness and practicability of the developed concepts. We explicitly assume input with characteristics that are usually present in real measured data, i.e. massive, irregularly sampled and outlier afflicted raw data.

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Tobias Nöll

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