Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows

Claus B. Madsen, Brajesh Behari Lal

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

5 Citationer (Scopus)
552 Downloads (Pure)

Resumé

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.
OriginalsprogEngelsk
TitelComputer Vision, Imaging and Computer Graphics : Theory and Applications
RedaktørerGabriela Csurka, Martin Kraus, Leonid Mestetskiy, Paul Richard, Jose Braz
Antal sider20
ForlagSpringer Publishing Company
Publikationsdato1 mar. 2013
Sider33-52
Kapitel2
ISBN (Trykt)978-3-642-32349-2
ISBN (Elektronisk)987-3-642-32350-8
DOI
StatusUdgivet - 1 mar. 2013
BegivenhedInternational Conference on Computer Graphics Theory and Applications (GRAPP 2011) - Vilamoura, Portugal
Varighed: 5 mar. 20117 mar. 2011

Konference

KonferenceInternational Conference on Computer Graphics Theory and Applications (GRAPP 2011)
LandPortugal
ByVilamoura
Periode05/03/201107/03/2011
NavnCommunications in Computer and Information Science
Vol/bind274
ISSN1865-0929

Fingerprint

Sun
Lighting
Augmented reality
Pixels
Cameras
Experiments

Citer dette

Madsen, C. B., & Lal, B. B. (2013). Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. I G. Csurka, M. Kraus, L. Mestetskiy, P. Richard, & J. Braz (red.), Computer Vision, Imaging and Computer Graphics: Theory and Applications (s. 33-52). Springer Publishing Company. Communications in Computer and Information Science, Bind. 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. red. / Gabriela Csurka ; Martin Kraus ; Leonid Mestetskiy ; Paul Richard ; Jose Braz. Springer Publishing Company, 2013. s. 33-52 (Communications in Computer and Information Science, Bind 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.",
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Madsen, CB & Lal, BB 2013, Estimating Outdoor Illumination Conditions Based on Detection of Dynamic Shadows. i G Csurka, M Kraus, L Mestetskiy, P Richard & J Braz (red), Computer Vision, Imaging and Computer Graphics: Theory and Applications. Springer Publishing Company, Communications in Computer and Information Science, bind 274, s. 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. red. / Gabriela Csurka; Martin Kraus; Leonid Mestetskiy; Paul Richard; Jose Braz. Springer Publishing Company, 2013. s. 33-52 (Communications in Computer and Information Science, Bind 274).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

TY - CHAP

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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.

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KW - Computer Vision

KW - Computer Graphics

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