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Individual 3D Face Modeling and Reco...

Nguyen, Hoang Thanh.

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Individual 3D Face Modeling and Recognition in a Video Network.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Individual 3D Face Modeling and Recognition in a Video Network./
Author:	Nguyen, Hoang Thanh.
Description:	130 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
Contained By:	Dissertation Abstracts International74-03B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3543829
ISBN:	9781267729927

Individual 3D Face Modeling and Recognition in a Video Network.
Nguyen, Hoang Thanh.

Individual 3D Face Modeling and Recognition in a Video Network. - 130 p.

Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.

Thesis (Ph.D.)--University of California, Riverside, 2012.

Given an uncalibrated network of video cameras, we are tasked with the problem of building a 3D model of every person's face as they move within the network. The process of doing so requires overcoming many challenges including person detection, tracking, cross-camera correspondence (how to determine if a person in one camera is the same person in another), and the final 3D model reconstruction from multiple views in real-time or at near real-time speeds (efficient modeling and data fusion from multiple hardware sources). Towards this goal, a wireless camera network was designed and built from the ground up, a new tracking algorithm and a cross-camera human signature method was developed, and face modeling using multiple cameras in a real-world setting was performed.

ISBN: 9781267729927Subjects--Topical Terms:

1669061
Engineering, Computer.

Individual 3D Face Modeling and Recognition in a Video Network.
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100 1 $a Nguyen, Hoang Thanh. $3 2092197
245 1 0 $a Individual 3D Face Modeling and Recognition in a Video Network.
300 $a 130 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
500 $a Adviser: Bir Bhanu.
502 $a Thesis (Ph.D.)--University of California, Riverside, 2012.
520 $a Given an uncalibrated network of video cameras, we are tasked with the problem of building a 3D model of every person's face as they move within the network. The process of doing so requires overcoming many challenges including person detection, tracking, cross-camera correspondence (how to determine if a person in one camera is the same person in another), and the final 3D model reconstruction from multiple views in real-time or at near real-time speeds (efficient modeling and data fusion from multiple hardware sources). Towards this goal, a wireless camera network was designed and built from the ground up, a new tracking algorithm and a cross-camera human signature method was developed, and face modeling using multiple cameras in a real-world setting was performed.
590 $a School code: 0032.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Computer Science. $3 626642
690 $a 0464
690 $a 0544
690 $a 0984
710 2 $a University of California, Riverside. $b Computer Science. $3 1680199
773 0 $t Dissertation Abstracts International $g 74-03B(E).
790 1 0 $a Bhanu, Bir, $e advisor
790 1 0 $a Ravishankar, Chinya $e committee member
790 1 0 $a Roy-Chowdhury, Amit $e committee member
790 1 0 $a Beni, Gerardo $e committee member
790 $a 0032
791 $a Ph.D.
792 $a 2012
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3543829