Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

Claus B. Madsen; Brajesh Behari Lal

doi:10.1007/978-3-642-32350-8_3

Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

Claus B. Madsen, Brajesh Behari Lal

Department of Architecture, Design and Media Technology

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

8 Citations (Scopus)

747 Downloads (Pure)

Abstract

The paper proposes a technique for estimation outdoor illumination conditions in terms of sun and sky radiances directly from pixel values of dynamic shadows detected in video sequences produved by a commercial stereo camera. The technique is applied to the rendering of virtual object into the image stream to achieve realistic Augmented Reality where the shading and the shadowing of virtual objects is consistent with the real scene. Other techniques require the presence of a known object, a light probe, in the scene for estimating illumination. The technique proposed here works in general scenes and does not require High Dynamic Range imagery. Experiments demonstrate that sun and sky radiances are estimated within 7% of ground truth values.

Original language	English
Title of host publication	Computer Vision, Imaging and Computer Graphics : Theory and Applications
Editors	Gabriela Csurka, Martin Kraus, Leonid Mestetskiy, Paul Richard, Jose Braz
Number of pages	20
Publisher	Springer Publishing Company
Publication date	1 Mar 2013
Pages	33-52
Chapter	2
ISBN (Print)	978-3-642-32349-2
ISBN (Electronic)	987-3-642-32350-8
DOIs	https://doi.org/10.1007/978-3-642-32350-8_3
Publication status	Published - 1 Mar 2013
Event	International Conference on Computer Graphics Theory and Applications (GRAPP 2011) - Vilamoura, Portugal Duration: 5 Mar 2011 → 7 Mar 2011

Conference

Conference	International Conference on Computer Graphics Theory and Applications (GRAPP 2011)
Country/Territory	Portugal
City	Vilamoura
Period	05/03/2011 → 07/03/2011

Series	Communications in Computer and Information Science
Volume	274
ISSN	1865-0929

Bibliographical note

Best paper award, GRAPP 2011

Keywords

Augmented Reality
Computer Vision
Computer Graphics

Access to Document

10.1007/978-3-642-32350-8_3

GRAPP2011BookOfSelectedPapersSubmitted manuscript, 4.06 MB

AUB Link

Search for the material in Aalborg University Library's search engine

CoSPE: Computer vision based Scene Parameter Estimation
Madsen, C. B., Andersen, H. J., Granum, E. & Nielsen, M.
<ingen navn>
01/01/2005 → 01/06/2012
Project: Research

Cite this

Madsen, C. B., & Lal, B. B. (2013). Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. In G. Csurka, M. Kraus, L. Mestetskiy, P. Richard, & J. Braz (Eds.), Computer Vision, Imaging and Computer Graphics: Theory and Applications (pp. 33-52). Springer Publishing Company. Communications in Computer and Information Science Vol. 274 https://doi.org/10.1007/978-3-642-32350-8_3

Madsen, Claus B. ; Lal, Brajesh Behari. / Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. Computer Vision, Imaging and Computer Graphics: Theory and Applications. editor / Gabriela Csurka ; Martin Kraus ; Leonid Mestetskiy ; Paul Richard ; Jose Braz. Springer Publishing Company, 2013. pp. 33-52 (Communications in Computer and Information Science, Vol. 274).

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abstract = "The paper proposes a technique for estimation outdoor illumination conditions in terms of sun and sky radiances directly from pixel values of dynamic shadows detected in video sequences produved by a commercial stereo camera. The technique is applied to the rendering of virtual object into the image stream to achieve realistic Augmented Reality where the shading and the shadowing of virtual objects is consistent with the real scene. Other techniques require the presence of a known object, a light probe, in the scene for estimating illumination. The technique proposed here works in general scenes and does not require High Dynamic Range imagery. Experiments demonstrate that sun and sky radiances are estimated within 7% of ground truth values.",

keywords = "Augmented Reality, Computer Vision, Computer Graphics",

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

note = "Best paper award, GRAPP 2011; International Conference on Computer Graphics Theory and Applications (GRAPP 2011) ; Conference date: 05-03-2011 Through 07-03-2011",

year = "2013",

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doi = "10.1007/978-3-642-32350-8_3",

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Madsen, CB & Lal, BB 2013, Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. in G Csurka, M Kraus, L Mestetskiy, P Richard & J Braz (eds), Computer Vision, Imaging and Computer Graphics: Theory and Applications. Springer Publishing Company, Communications in Computer and Information Science, vol. 274, pp. 33-52, International Conference on Computer Graphics Theory and Applications (GRAPP 2011), Vilamoura, Portugal, 05/03/2011. https://doi.org/10.1007/978-3-642-32350-8_3

Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. / Madsen, Claus B.; Lal, Brajesh Behari.
Computer Vision, Imaging and Computer Graphics: Theory and Applications. ed. / Gabriela Csurka; Martin Kraus; Leonid Mestetskiy; Paul Richard; Jose Braz. Springer Publishing Company, 2013. p. 33-52 (Communications in Computer and Information Science, Vol. 274).

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

TY - CHAP

T1 - Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

AU - Madsen, Claus B.

AU - Lal, Brajesh Behari

N1 - Best paper award, GRAPP 2011

PY - 2013/3/1

Y1 - 2013/3/1

N2 - The paper proposes a technique for estimation outdoor illumination conditions in terms of sun and sky radiances directly from pixel values of dynamic shadows detected in video sequences produved by a commercial stereo camera. The technique is applied to the rendering of virtual object into the image stream to achieve realistic Augmented Reality where the shading and the shadowing of virtual objects is consistent with the real scene. Other techniques require the presence of a known object, a light probe, in the scene for estimating illumination. The technique proposed here works in general scenes and does not require High Dynamic Range imagery. Experiments demonstrate that sun and sky radiances are estimated within 7% of ground truth values.

AB - The paper proposes a technique for estimation outdoor illumination conditions in terms of sun and sky radiances directly from pixel values of dynamic shadows detected in video sequences produved by a commercial stereo camera. The technique is applied to the rendering of virtual object into the image stream to achieve realistic Augmented Reality where the shading and the shadowing of virtual objects is consistent with the real scene. Other techniques require the presence of a known object, a light probe, in the scene for estimating illumination. The technique proposed here works in general scenes and does not require High Dynamic Range imagery. Experiments demonstrate that sun and sky radiances are estimated within 7% of ground truth values.

KW - Augmented Reality

KW - Computer Vision

KW - Computer Graphics

U2 - 10.1007/978-3-642-32350-8_3

DO - 10.1007/978-3-642-32350-8_3

M3 - Book chapter

SN - 978-3-642-32349-2

T3 - Communications in Computer and Information Science

SP - 33

EP - 52

BT - Computer Vision, Imaging and Computer Graphics

A2 - Csurka, Gabriela

A2 - Kraus, Martin

A2 - Mestetskiy, Leonid

A2 - Richard, Paul

A2 - Braz, Jose

PB - Springer Publishing Company

T2 - International Conference on Computer Graphics Theory and Applications (GRAPP 2011)

Y2 - 5 March 2011 through 7 March 2011

ER -

Madsen CB, Lal BB. Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. In Csurka G, Kraus M, Mestetskiy L, Richard P, Braz J, editors, Computer Vision, Imaging and Computer Graphics: Theory and Applications. Springer Publishing Company. 2013. p. 33-52. (Communications in Computer and Information Science, Vol. 274). doi: 10.1007/978-3-642-32350-8_3

Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

Abstract

Conference

Bibliographical note

Keywords

Access to Document

AUB Link

Fingerprint

Projects

CoSPE: Computer vision based Scene Parameter Estimation

Cite this