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MPI-INF D4 Publications :: Thesis :: Goesele, Michael

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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit

Author(s)*:Goesele, Michael
BibTeX citekey*:Goesele:2004:NAT

Title, School
Title*:New Acquisition Techniques for Real Objects and Light Sources in Computer Graphics
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation

Note, Abstract, Copyright
LaTeX 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


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.

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Referees, Status, Dates
Date Kolloquium:14 July 2004

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
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BibTeX Entry:
AUTHOR = {Goesele, Michael},
TITLE = {New Acquisition Techniques for Real Objects and Light Sources in Computer Graphics},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2004},
TYPE = {Doctoral dissertation}
MONTH = {July},

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Entry last modified by Christine Kiesel, 10/21/2004
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Michael Gösele
10/13/2004 11:27:11 AM

Christine Kiesel
Michael Gösele

Edit Date
21.10.2004 12:50:17
10/13/2004 11:31:44 AM