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High-performance visual computing in...

Borovikov, Yevgeny.

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High-performance visual computing in multi-perspective environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	High-performance visual computing in multi-perspective environments./
Author:	Borovikov, Yevgeny.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5599.
Contained By:	Dissertation Abstracts International64-11B.
Subject:	Computer Science. -
Online resource:	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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245 1 0 $a High-performance visual computing in multi-perspective environments.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5599.
500 $a Director: Larry S. Davis.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 2003.
520 $a 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.
520 $a 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.
520 $a To begin, I present a real-time volumetric shape recovery system based on visual cone intersection that runs on a multi-sensor PC cluster.
520 $a 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.
520 $a 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.
520 $a 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.
590 $a School code: 0117.
650 4 $a Computer Science. $3 626642
650 4 $a Applied Mechanics. $3 1018410
650 4 $a Artificial Intelligence. $3 769149
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710 2 0 $a University of Maryland, College Park. $3 657686
773 0 $t Dissertation Abstracts International $g 64-11B.
790 1 0 $a Davis, Larry S., $e advisor
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791 $a Ph.D.
792 $a 2003
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