Https://arxiv.org/pd F/1711.03536.pdf

1711.03536.pdf
Preview of https://arxiv.org/pd f/1711.03536.pdf
🔗 Source: arxiv.org
📊 Size: 8.34 MB
📄 Pages: 24 pages
⬇️ Downloads: 55

Summary

The approach quantifies individual stroke characteristics, such as shape, tone, and length, and uses machine learning techniques to compare them to a large dataset of strokes by different artists. The methodology is inspired by the Morellian analysis and van Dantzig's Pictology, which rely on finding consistent stylistic characteristics in an artist's work. The paper presents a novel algorithm for segmenting individual strokes and experiments with a dataset of 300 digitized drawings, achieving accuracy of 70%-90% in classifying individual strokes and above 80% in aggregating over drawings, while being robust to detecting fakes.

Description

The approach quantifies individual stroke characteristics, such as shape, tone, and length, and uses machine learning techniques to compare them to a large...

Technical Information

  • File Format: PDF
  • File Size: 8.34 MB
  • Pages: 24
  • Language: EN
  • Total Downloads: 55
  • Last Updated: 2 hours ago

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