Detecting Fake Paintings Robert Jacobsen Centre for Stochastic - - PowerPoint PPT Presentation

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Detecting Fake Paintings Robert Jacobsen Centre for Stochastic - - PowerPoint PPT Presentation

Detecting Fake Paintings Robert Jacobsen Centre for Stochastic Geometry and Advanced Bioimaging Department of Mathematical Sciences Aalborg University 9th SSIAB Workshop, 2012 Joint work with Morten Nielsen Robert Jacobsen | Detecting Fake


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Detecting Fake Paintings

Robert Jacobsen

Centre for Stochastic Geometry and Advanced Bioimaging Department of Mathematical Sciences Aalborg University

9th SSIAB Workshop, 2012

Joint work with Morten Nielsen

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Robert Jacobsen | Detecting Fake Paintings 1 / 15

Outline

1 Introduction 2 Methods

Contourlets Hidden Markov Model

3 Results

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Robert Jacobsen | Detecting Fake Paintings 2 / 15

Problem Statement: Which is Authentic?

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Robert Jacobsen | Detecting Fake Paintings 3 / 15

Relevance

The Art Newspaper:

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Robert Jacobsen | Detecting Fake Paintings 4 / 15

Interest in this Subject

1998 2000 2002 2004 2006 2008 2010 2012 1 2 3 4 # publications

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Robert Jacobsen | Detecting Fake Paintings 5 / 15

Brushstrokes

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Robert Jacobsen | Detecting Fake Paintings 5 / 15

Brushstrokes

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Robert Jacobsen | Detecting Fake Paintings 6 / 15

Divide and Conquer

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Robert Jacobsen | Detecting Fake Paintings 6 / 15

Divide and Conquer

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Robert Jacobsen | Detecting Fake Paintings 7 / 15

Details = High Frequencies

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Robert Jacobsen | Detecting Fake Paintings 7 / 15

Details = High Frequencies

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Robert Jacobsen | Detecting Fake Paintings 8 / 15

Fourier Fails

Fourier: One frequency, lots of pixels Heisenberg: One frequency, one pixel is impossible Realistic: Few frequencies, few pixels. spatial frequency

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Robert Jacobsen | Detecting Fake Paintings 8 / 15

Fourier Fails

Fourier: One frequency, lots of pixels Heisenberg: One frequency, one pixel is impossible Realistic: Few frequencies, few pixels. spatial frequency

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Robert Jacobsen | Detecting Fake Paintings 8 / 15

Fourier Fails

Fourier: One frequency, lots of pixels Heisenberg: One frequency, one pixel is impossible Realistic: Few frequencies, few pixels. spatial frequency

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Robert Jacobsen | Detecting Fake Paintings 9 / 15

Multiresolution Analysis: Digital image

digital image =

  • k∈❩2

akφ(x − k), φ(x) = ✶[0,1)2(x).

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Robert Jacobsen | Detecting Fake Paintings 9 / 15

Multiresolution Analysis: Digital image

digital image =

  • k∈❩2

akφ(2x − k), φ(2x) = ✶[0,1/2)2(x).

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Robert Jacobsen | Detecting Fake Paintings 10 / 15

Multiresolution Analysis: Contourlets

digital image =

D

  • d=0
  • k∈❩2

akψd(x − k).

a(1,1) a(1,2) a(2,1) a(2,2)

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Robert Jacobsen | Detecting Fake Paintings 10 / 15

Multiresolution Analysis: Contourlets

digital image =

D

  • d=0
  • k∈❩2

akψd(x − k).

a(1,1) a(1,2) a(2,1) a(2,2)

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Robert Jacobsen | Detecting Fake Paintings 10 / 15

Multiresolution Analysis: Contourlets

digital image =

D

  • d=0
  • k∈❩2

akψd(2x − k).

a(1,1) a(1,2) a(1,3) a(1,4) a(2,1) a(2,2) a(2,3) a(2,4) a(3,1) a(3,2) a(3,3) a(3,4) a(4,1) a(4,2) a(4,3) a(4,4)

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Robert Jacobsen | Detecting Fake Paintings 11 / 15

Contourlet properties

Directionality Frequency selection Made for digital images

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Robert Jacobsen | Detecting Fake Paintings 12 / 15

Contourlet Transform

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Robert Jacobsen | Detecting Fake Paintings 12 / 15

Contourlet Transform

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Robert Jacobsen | Detecting Fake Paintings 13 / 15

Hidden Markov Model

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Robert Jacobsen | Detecting Fake Paintings 14 / 15

Distances: Multidimensional Scaling

imagei imagej d( HMMi , HMMj ) = dij xi xj xi − xj ≈ dij

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Robert Jacobsen | Detecting Fake Paintings 15 / 15

Results: Pieter Bruegel the Elder

3 4 5 6 7 9 11 13 20 120 121 125

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Robert Jacobsen | Detecting Fake Paintings 15 / 15

Results: Pieter Bruegel the Elder

3 4 5 6 7 9 11 13 20 120 121 125

−4 −3 −2 −1 1 2 3 4 −2 −1 1 2 3 3 4 5 6 7 9 11 13 20 120 121 125 127 authentic forgery