Computational Intelligence in Multi-Feature Visual Pattern Recognition Hand Posture and Face Recognition using Biologically Inspired Approaches /

This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3...

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Detalles Bibliográficos
Autor principal: Pisharady, Pramod Kumar
Otros Autores: Vadakkepat, Prahlad, Poh, Loh Ai
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Singapore : Springer Singapore : Imprint: Springer, 2014.
Colección:Studies in Computational Intelligence, 556
Materias:
Algorithms.
Engineering.
Computational Intelligence.
Pattern Recognition.
Acceso en línea:http://dx.doi.org/10.1007/978-981-287-056-8
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
Tabla de Contenidos:
  • Part I Computational Intelligence in Visual Pattern Recognition
  • 1 Visual Pattern Recognition
  • 2 Computational Intelligence Techniques
  • 3 Multi-Feature Pattern Recognition
  • Part II Feature Selection and Classification
  • 4 Fuzzy-Rough Discriminative Feature Selection and Classification
  • 5 Hand Posture and Face Recognition using Fuzzy-Rough Approach
  • 6 Boosting based Fuzzy-Rough Pattern Classifier
  • Part III Biologically Inspired Approaches in Hand Posture Recognition
  • 7 Hand Posture Recognition using Neurobiologically Inspired Features
  • 8 Attention based Segmentation and Recognition (ASR) Algorithm for Hand Postures Against Complex Backgrounds
  • Appendices
  • Index.

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