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Figure Extraction.pdf

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Preview of Figure Extraction
🔗 Source: cvg.cit.tum.de
📊 Size: 1.48 MB
📄 Pages: 4 pages
⬇️ Downloads: 150

Summary

A game-theoretic approach is proposed to distinguish foreground features from background ones by modeling the filtering step as a self-matching game, where features with high mutual similarity are deemed non-distinctive and screened away. The recognition step is performed as a matching game between the model and data image, seeking a set of highly coherent pairs of corresponding features. The approach uses evolutionary game theory and replicator dynamics to converge to a stable state, allowing for the selection of distinctive features and the filtering out of background features.

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Description

A game-theoretic approach is proposed to distinguish foreground features from background ones by modeling the filtering step as a self-matching game, where...

Technical Information

  • File Format: PDF
  • File Size: 1.48 MB
  • Pages: 4
  • Language: EN
  • Total Downloads: 150
  • Last Updated: 2 hours ago

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This PDF document about Figure Extraction provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Figure Extraction.

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