UTCS Faculty Candidate - Evangelos Kalogerakis/Stanford University, "Data-driven shape analysis and synthesis", ACES 2.302
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Type o
f Talk: UTCS Faculty Candidate
Speaker/Affiliation: Evangelos Kalogera
kis/Stanford University
Talk Audience: UTCS Faculty, Graduate Student
s, Undergraduate Students and Outside Interested Parties
Date/Time: T
hursday, April 26, 2012, 11:00 am
Location: ACES 2.302
Host: D
on Fussell
Talk Title: Data-driven shape analysis and synthesis
T
alk Abstract:
The emergence of modern geometry acquisition devices, such
as the Kinect, and the appearance of large-scale shape repositories, suc
h as the Google Warehouse, are revolutionizing computer graphics, making
three-dimensional content ubiquitous. The need for algorithms that understa
nd and intelligently process 3D shapes is thus greater than ever.
In t
his talk, I will describe a new generation of algorithms that analyze and
synthesize complex three-dimensional shapes. The algorithms are based on pr
obabilistic models that reason about both geometry and semantics. In contra
st to traditional approaches that consider individual shapes in isolation a
nd require laborious hand-tuning, these algorithms learn from collections
of shapes. Specifically, I will present a data-driven shape segmentation t
echnique that outperforms all previous approaches to shape segmentation. I
will then describe a shape synthesis technique that can construct high-qual
ity novel shapes from complex domains, such as aircraft, ships, and furn
iture. Finally, I will discuss new opportunities for geometry processing a
nd 3D modeling enabled by these algorithms.
Bio:
Evangelos Kalogerak
is is a postdoctoral researcher in computer science at Stanford university.
His research deals with the development of computer graphics techniques th
at support human creativity and automate complex visual content processing
tasks for novice users, scientists and artists. He is particularly interes
ted in developing machine learning algorithms for 3D content analysis and s
ynthesis. He earned a PhD from the department of Computer Science at the Un
iversity of Toronto. He has been awarded with the NSERC Alexander Graham Be
ll research fellowship.
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