Outdoor Illumination Estimation in Image Sequences for Augmented Reality

Claus B. Madsen; Brajesh Behari Lal

Outdoor Illumination Estimation in Image Sequences for Augmented Reality

Institut for Arkitektur og Medieteknologi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

10 Citationer (Scopus)

415 Downloads (Pure)

Abstract

The paper presents a technique for estimating the radiance of the sky and sun for outdoor, daylight illumination conditions. Shadows cast by dynamic objects are detected using color imagery, combined with depth information from a commercial stereo camera setup. Color information extracted from the detected shadows is used to estimate the radiance of the sun. The technique does not require special purpose objects in the scene, nor does it require High Dynamic Range imagery. Results are demonstrated by rendering augmented objects into real images with shading and shadows which are consistent with the real scene.

Originalsprog	Engelsk
Titel	Proceedings of GRAPP 2011 : International Conference on Computer Graphics Theory and Applications
Redaktører	Paul Richard, Jose Braz
Antal sider	11
Udgivelsessted	Portugal
Forlag	Institute for Systems and Technologies of Information, Control and Communication
Publikationsdato	5 mar. 2011
Sider	129 - 139
ISBN (Trykt)	987-989-8425-45-4
Status	Udgivet - 5 mar. 2011

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grapp2011Indsendt manuskript, 10,6 MB

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Citationsformater

@inproceedings{57c9f0c1fca04df3966819032aa3c36b,

title = "Outdoor Illumination Estimation in Image Sequences for Augmented Reality",

abstract = "The paper presents a technique for estimating the radiance of the sky and sun for outdoor, daylight illumination conditions. Shadows cast by dynamic objects are detected using color imagery, combined with depth information from a commercial stereo camera setup. Color information extracted from the detected shadows is used to estimate the radiance of the sun. The technique does not require special purpose objects in the scene, nor does it require High Dynamic Range imagery. Results are demonstrated by rendering augmented objects into real images with shading and shadows which are consistent with the real scene.",

author = "Madsen, {Claus B.} and Lal, {Brajesh Behari}",

note = "Awarded GRAPP 2011 Best Paper Award",

year = "2011",

month = mar,

day = "5",

language = "English",

isbn = "987-989-8425-45-4",

pages = "129 -- 139",

editor = "Paul Richard and Jose Braz",

booktitle = "Proceedings of GRAPP 2011",

publisher = "Institute for Systems and Technologies of Information, Control and Communication",

}

Outdoor Illumination Estimation in Image Sequences for Augmented Reality. / Madsen, Claus B.; Lal, Brajesh Behari.
Proceedings of GRAPP 2011: International Conference on Computer Graphics Theory and Applications. red. / Paul Richard; Jose Braz. Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2011. s. 129 - 139.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Outdoor Illumination Estimation in Image Sequences for Augmented Reality

AU - Madsen, Claus B.

AU - Lal, Brajesh Behari

N1 - Awarded GRAPP 2011 Best Paper Award

PY - 2011/3/5

Y1 - 2011/3/5

N2 - The paper presents a technique for estimating the radiance of the sky and sun for outdoor, daylight illumination conditions. Shadows cast by dynamic objects are detected using color imagery, combined with depth information from a commercial stereo camera setup. Color information extracted from the detected shadows is used to estimate the radiance of the sun. The technique does not require special purpose objects in the scene, nor does it require High Dynamic Range imagery. Results are demonstrated by rendering augmented objects into real images with shading and shadows which are consistent with the real scene.

AB - The paper presents a technique for estimating the radiance of the sky and sun for outdoor, daylight illumination conditions. Shadows cast by dynamic objects are detected using color imagery, combined with depth information from a commercial stereo camera setup. Color information extracted from the detected shadows is used to estimate the radiance of the sun. The technique does not require special purpose objects in the scene, nor does it require High Dynamic Range imagery. Results are demonstrated by rendering augmented objects into real images with shading and shadows which are consistent with the real scene.

M3 - Article in proceeding

SN - 987-989-8425-45-4

SP - 129

EP - 139

BT - Proceedings of GRAPP 2011

A2 - Richard, Paul

A2 - Braz, Jose

PB - Institute for Systems and Technologies of Information, Control and Communication

CY - Portugal

ER -

Outdoor Illumination Estimation in Image Sequences for Augmented Reality

Abstract

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Projekter

Big Brother <em>is</em> watching you! - Extracting a good quality face image from a poor quality

CoSPE: Computer vision based Scene Parameter Estimation / Vision-baseret estimering af sceneparametre

Citationsformater