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New Acquisition Techniques for Real Objects and Light Sources in Computer Graphics

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Goesele,  Michael
Computer Graphics, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

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Citation

Goesele, M. (2004). New Acquisition Techniques for Real Objects and Light Sources in Computer Graphics. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-25790.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-28DB-2
Abstract
Accurate representations of objects and light sources in a scene model are a
crucial prerequisite for realistic image synthesis using computer graphics
techniques. This thesis presents techniques for the efficient acquisition of
real world objects and real world light sources, as well as an assessment of
the quality of the acquired
models.

Making use of color management techniques, we setup an appearance reproduction
pipeline that ensures best-possible reproduction of local light reflection with
the available input and output devices. We introduce a hierarchical model for
the subsurface light transport in translucent objects, derive an acquisition
methodology, and acquire models of several translucent objects that can be
rendered interactively. Since geometry models of real world objects are often
acquired using 3D range scanners, we also present a method based on the concept
of modulation transfer functions to evaluate their accuracy.

In order to illuminate a scene with realistic light sources, we propose a
method to acquire a model of the near-field emission pattern of a light source
with optical prefiltering. We apply this method to several light sources with
different emission characteristics and demonstrate the integration of the
acquired models into both, global illumination as well as hardware-accelerated
rendering systems.