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MPI-INF D4 Publications :: Thesis :: Ahmed, Naveed

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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit

Author(s)*:Ahmed, Naveed
BibTeX citekey*:Ahmed2009

Title, School
Title*:High Quality Dynamic Reflectance and Surface Reconstruction from Video
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation

Publishers Name:Universität des Saarlandes
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract:The creation of high quality animations of real-world human actors has long been a challenging problem in computer graphics. It involves the modeling of the shape of the virtual actors, creating their motion, and the reproduction of very fine dynamic

details. In order to render the actor under arbitrary lighting, it is required that reflectance properties are modeled for each point on the surface. These steps, that are usually performed manually by professional modelers, are time consuming and cumbersome.

In this thesis, we show that algorithmic solutions for some of the problems that arise in the creation of high quality animation of real-world people are possible using multi-view video data. First, we present a novel spatio-temporal approach
to create a personalized avatar from multi-view video data of a moving person. Thereafter, we propose two enhancements to a method that captures human shape, motion and reflectance properties of amoving human using eightmulti-view video streams. Afterwards we extend this work, and in order to add very fine dynamic details to the geometric models, such as wrinkles and folds in the clothing, we make use of the multi-view video recordings and present a statistical method that can passively capture the fine-grain details of time-varying scene geometry. Finally, in order to reconstruct structured shape and animation of the subject from video, we present a dense 3D correspondence finding method that enables spatiotemporally coherent reconstruction of surface animations directly frommulti-view
video data.

These algorithmic solutions can be combined to constitute a complete animation pipeline for acquisition, reconstruction and rendering of high quality virtual actors from multi-view video data. They can also be used individually in a system that require the solution of a specific algorithmic sub-problem. The results demonstrate that using multi-view video data it is possible to find the model description that enables realistic appearance of animated virtual actors under different lighting
conditions and exhibits high quality dynamic details in the geometry.

Keywords:Multi-view video, 3D Animation Reconstruction, Dynamic Geometry Reconstruction, Dynamic Reflectance Estimation
HyperLinks / References / URLs:
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Referees, Status, Dates
1. Referee:Prof. Dr. Christian Theobalt
2. Referee:Prof. Dr. Gabriel Brostow
Supervisor:Prof. Dr. Hans-Peter Seidel
First Lecture Title: High Quality Dynamic Reflectance and Surface Reconstruction from Video
Location of Lecture:MPI Informatik
Date Kolloquium:10 July 2009
Chair Kolloquium:Prof. Dr. Philipp Slusallek

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
Appearance:MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:
AUTHOR = {Ahmed, Naveed},
TITLE = {High Quality Dynamic Reflectance and Surface Reconstruction from Video},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2009},
TYPE = {Doctoral dissertation}
ADDRESS = {Saarbr{\"u}cken},
MONTH = {July},

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Entry last modified by Anja Becker, 03/15/2010
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02/09/2010 12:07:55 PM

Anja Becker
Naveed Ahmed

Edit Date
15.03.2010 09:43:11
09/02/2010 12:07:56