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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Pisharady, Pramod Kumar (Author), Vadakkepat, Prahlad (Author), Poh, Loh Ai (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Computational Intelligence, 556
Subjects:
Computational intelligence.
Pattern recognition systems.
Algorithms.
Computational Intelligence.
Automated Pattern Recognition.
Online Access:Texto Completo
Table of Contents:
  • 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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