articleInternational Journal of Computer VisionNov 30, 2007Closed access

TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

JSJamie ShottonJWJohn WinnCRCarsten RotherACAntonio Criminisi

University of Cambridge · Microsoft (United States) · +1 more institution

Indexed incrossref

Abstract

No abstract available for this paper.

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1,051
total citations
FWCI
23.03
Percentile
100%
References
67
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Authors

4

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Discriminative model
  • Computer science
  • Conditional random field
  • Segmentation
  • Pattern recognition (psychology)
  • Boosting (machine learning)
  • Classifier (UML)
UN Sustainable Development Goals
  • Reduced inequalities
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