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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2014.
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Σειρά: | Studies in Computational Intelligence,
556 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.