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High-performance visual computing in...
~
Borovikov, Yevgeny.
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High-performance visual computing in multi-perspective environments.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
High-performance visual computing in multi-perspective environments./
作者:
Borovikov, Yevgeny.
面頁冊數:
142 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5599.
Contained By:
Dissertation Abstracts International64-11B.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3112602
ISBN:
0496601146
High-performance visual computing in multi-perspective environments.
Borovikov, Yevgeny.
High-performance visual computing in multi-perspective environments.
- 142 p.
Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5599.
Thesis (Ph.D.)--University of Maryland, College Park, 2003.
This thesis is the result of my graduate research carried out at the junction point of the following three major areas: (1) volumetric shape and movement analysis of articulated objects; (2) high-performance multi-perspective visual computing; (3) advanced methods of applied mathematics for large scale problems.
ISBN: 0496601146Subjects--Topical Terms:
626642
Computer Science.
High-performance visual computing in multi-perspective environments.
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The work was motivated by a set of vision problems that arise in multi-perspective environments. The primary focus was on shape and movement recovery of complex articulated objects such as human bodies.
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To begin, I present a real-time volumetric shape recovery system based on visual cone intersection that runs on a multi-sensor PC cluster.
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Next, I study complex shapes with density based models, develop two frameworks for 3D articulated shape hierarchical approximation, and show how one can use them for human body shape and movement analysis.
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Finally, I introduce a flexible multi-perspective vision studio that abstracts the distributed vision system from its sensor array, allows for flexible plug-in based system of multi-view vision procedures, and provides a 3D scene viewer.
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In addition, I present an efficient cross-platform implementation of Generalized Fast Multi-pole Method, whose C++ code relied solely on portable standard libraries and showed excellent performance on large scale problems of acoustics, applied physics and (scientific) data visualization.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3112602
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