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This module introduces motivations and approaches of our project.

Abstract

A canvas can be characterized by the vertical and horizontal weave densities while the actual painting serves as an additive signal that only distracts from the thread-counting process. The thread counting algorithm and the spectral techniques we employ in our project can analyze weave density for entire paintings with an accuracy comparable to human measurements more efficiently.

Motivation

Van Gogh Museum of Amsterdam has a collection of artist's works and is looking for a more advanced analysis for sequencing paintings in addition to the traditional manual methods. Our whole-painting analysis shows that frequency distributions should match if two paintings are from the same canvas roll. This could better support the forensic evidence quantitatively when comparing two paintings.

Approach

Current approach

Human measurement – weave threads are manually counted and compared. This approach is inefficient and may not be accurate.

Our new approach

Use thread counting algorithm and spectral techniques to analyze weave density for entire paintings. Frequency distributions of weave densities should match if two paintings are from same canvas roll.

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Source:  OpenStax, Elec 301 projects fall 2008. OpenStax CNX. Jan 22, 2009 Download for free at http://cnx.org/content/col10633/1.1
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