what do color changes reveal about an outdoor scene ?

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1 What do color changes reveal about an outdoor scene? Kalyan Fabiano Wojciech Todd Hanspeter Sunkavalli Romeiro Matusik Zickler Pfister Harvard Universi ty Adobe Systems * * IEEE Conference on Computer Vision and Pattern Recognition 2008

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Harvard University. Adobe Systems. What do color changes reveal about an outdoor scene ?. *. *. IEEE Conference on Computer Vision and Pattern Recognition 2008. Outdoor time-lapse. =. £. Intrinsic Images. [ Weiss 2001, Matsushita et al. 2003,… ]. Time-lapse sequence. - PowerPoint PPT Presentation

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Page 1: What do  color changes  reveal about an  outdoor scene ?

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What do color changes reveal about an outdoor scene?

Kalyan Fabiano Wojciech Todd HanspeterSunkavalli Romeiro Matusik Zickler Pfister

Harvard University

Adobe Systems

*

*

IEEE Conference on Computer Vision and Pattern Recognition 2008

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Outdoor time-lapse

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Time-lapse in Computer Vision

Geo-location[ Jacobs et al. 2007 ]

Intrinsic Images[ Weiss 2001, Matsushita et al. 2003,… ]

£=

Time-lapse sequence Texture Time-varying

Shading

[ Sunkavalli et al. 2007 ]

Editing

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Coherence in time-lapse

• Most previous work makes use of only the temporal structure in time-lapse.

overcast sky clear sky sunset

• Outdoor time-lapse also has a colorimetric structure.

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Outline

1. A physics-based model.

2. A method to fit the model to data.

3. Applications of the model.

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Outline

1. A physics-based model.

2. A method to fit the model to data.

3. Applications of the model.

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A model for outdoor time-lapse

• Assumption 1 : Static scene

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A model for outdoor time-lapse

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observed pixel values

scene color under canonical lighting

• Assumption 2 : Linear Transforms for Re-illumination

color transform

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A model for outdoor time-lapse

• Assumption 3 : Ambient sky and direct sun illumination

sky illumination

sun illumination

mixing weights

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A model for outdoor time-lapse

• Assumption 4 : 2-d subspace for daylight spectra

[ Judd et al. 1964, Sastri and Das 1968, …, Hernández-Andrés et al. 2000 ]

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A model for outdoor time-lapse

• Assumption 4 : 2-d subspace for daylight spectra

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A model for outdoor time-lapse

illumination coefficients

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A model for outdoor time-lapse

scene color under canonical lighting (normalized)

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A model for outdoor time-lapse

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A model for outdoor time-lapse

shadows

shadows

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A model for outdoor time-lapse

shading

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A model for outdoor time-lapse

1-d projection of normals onto solar plane

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Outline

1. A physics-based model.

2. A method to fit the model to data.

3. Applications of the model.

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Fitting the model

albedo shadows normalsillum.bases

angular velocity

illum. coeffs.

brightness

over-constrained system

320 X 240 images, 100 frames23,040,000 measurements

8,141,220 parameters

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Fitting the model

1. Estimate albedo and illumination bases

2. Estimate shadows

Reconstruct

3. Estimate remaining parameters

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Fitting results

original reconstruction

240 x 360 images, 120 frames, ~5 mins. interval, 7.36% RMS error

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Fitting results

original error x 3

240 x 360 images, 120 frames, ~5 mins. interval, 7.36% RMS error

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Outline

1. A physics-based model.

2. A method to fit the model to data.

3. Applications of the model.

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Application I : Color Constancy

[ D’Zmura and Lennie 1986, Forsyth 1990, Funt et al. 1991, Finlayson and Funt 1994, Brainard and Freeman 1997, Barnard et al. 1997, Finlayson et al. 2001, Ebner 2004,… ]

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Application I : Color Constancy

original color corrected

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Application II : Scene Reconstruction

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Application II : Scene Reconstruction

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Application II : Scene Reconstruction

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Application III : Geo-location

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Application III : Geo-location

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Summary

1. Outdoor time-lapse sequences are ubiquitous.

2. They are a rich source of scene information.

3. By using both temporal and colorimetric coherence we can access that scene information.

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Future Work

1. Robust Fitting (mutual illumination, non-lambertian surfaces, foreground clutter).

2. Multiple viewpoints.

3. Estimating weather and atmospheric conditions.

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Thank you!