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Daniel Aliaga, Yi Xu, and Voicu Popescu, Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition. JVRB - Journal of Virtual Reality and Broadcasting, 3(2006), no. 10. (urn:nbn:de:0009-6-8204)

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%0 Journal Article
%T Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition
%A Aliaga, Daniel
%A Xu, Yi
%A Popescu, Voicu
%J JVRB - Journal of Virtual Reality and Broadcasting
%D 2006
%V 3(2006)
%N 10
%@ 1860-2037
%F aliaga2006
%X Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence ofmoving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder iscaptured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.
%L 004
%K camera clusters
%K computer graphics
%K foreground object removal
%K lightfields
%K lumigraphs
%K space-time stereo
%R 10.20385/1860-2037/3.2006.10
%U http://nbn-resolving.de/urn:nbn:de:0009-6-8204
%U http://dx.doi.org/10.20385/1860-2037/3.2006.10
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Bibtex

@Article{aliaga2006,
  author = 	"Aliaga, Daniel
		and Xu, Yi
		and Popescu, Voicu",
  title = 	"Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition",
  journal = 	"JVRB - Journal of Virtual Reality and Broadcasting",
  year = 	"2006",
  volume = 	"3(2006)",
  number = 	"10",
  keywords = 	"camera clusters; computer graphics; foreground object removal; lightfields; lumigraphs; space-time stereo",
  abstract = 	"Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence ofmoving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder iscaptured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/3.2006.10",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-8204"
}
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RIS

TY  - JOUR
AU  - Aliaga, Daniel
AU  - Xu, Yi
AU  - Popescu, Voicu
PY  - 2006
DA  - 2006//
TI  - Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition
JO  - JVRB - Journal of Virtual Reality and Broadcasting
VL  - 3(2006)
IS  - 10
KW  - camera clusters
KW  - computer graphics
KW  - foreground object removal
KW  - lightfields
KW  - lumigraphs
KW  - space-time stereo
AB  - Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence ofmoving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder iscaptured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-8204
DO  - 10.20385/1860-2037/3.2006.10
ID  - aliaga2006
ER  -
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Wordbib

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<b:Comments>Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence ofmoving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder iscaptured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.</b:Comments>
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ISI

PT Journal
AU Aliaga, D
   Xu, Y
   Popescu, V
TI Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition
SO JVRB - Journal of Virtual Reality and Broadcasting
PY 2006
VL 3(2006)
IS 10
DI 10.20385/1860-2037/3.2006.10
DE camera clusters; computer graphics; foreground object removal; lightfields; lumigraphs; space-time stereo
AB Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence ofmoving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder iscaptured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.
ER
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Mods

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moving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder is
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    <topic>camera clusters</topic>
    <topic>computer graphics</topic>
    <topic>foreground object removal</topic>
    <topic>lightfields</topic>
    <topic>lumigraphs</topic>
    <topic>space-time stereo</topic>
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Full Metadata

Bibliographic Citation JVRB, 3(2006), no. 10.
Title

Lag Camera: A Moving Multi-Camera Array for Scene-Acquisition (eng)
Author Daniel Aliaga, Yi Xu, Voicu Popescu
Language eng
Abstract Many applications, such as telepresence, virtual reality, and interactive walkthroughs, require a three-dimensional(3D)model of real-world environments. Methods, such as lightfields, geometric reconstruction and computer vision use cameras to acquire visual samples of the environment and construct a model. Unfortunately, obtaining models of real-world locations is a challenging task. In particular, important environments are often actively in use, containing moving objects, such as people entering and leaving the scene. The methods previously listed have difficulty in capturing the color and structure of the environment while in the presence of moving and temporary occluders. We describe a class of cameras called lag cameras. The main concept is to generalize a camera to take samples over space and time. Such a camera, can easily and interactively detect moving objects while continuously moving through the environment. Moreover, since both the lag camera and occluder are moving, the scene behind the occluder is captured by the lag camera even from viewpoints where the occluder lies in between the lag camera and the hidden scene. We demonstrate an implementation of a lag camera, complete with analysis and captured environments.
Subject camera clusters, computer graphics, foreground object removal, lightfields, lumigraphs, space-time stereo
Classified Subjects
swd
  • 4534538-7, Telepräsenz
  • 4399931-1, Virtuelle Realität
  • 4010450-3, Computergraphik
DDC 004
Rights DPPL
URN: urn:nbn:de:0009-6-8204
DOI https://doi.org/10.20385/1860-2037/3.2006.10