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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Pisharady, Pramod Kumar (Συγγραφέας), Vadakkepat, Prahlad (Συγγραφέας), Poh, Loh Ai (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2014.
Σειρά:Studies in Computational Intelligence, 556
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Pisharady, Pramod Kumar.  |e author. 
245 1 0 |a Computational Intelligence in Multi-Feature Visual Pattern Recognition  |h [electronic resource] :  |b Hand Posture and Face Recognition using Biologically Inspired Approaches /  |c by Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2014. 
300 |a XIII, 138 p. 50 illus., 25 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 556 
505 0 |a 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. 
520 |a 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 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition. The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction. 
650 0 |a Engineering. 
650 0 |a Pattern recognition. 
650 0 |a Algorithms. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Algorithms. 
700 1 |a Vadakkepat, Prahlad.  |e author. 
700 1 |a Poh, Loh Ai.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789812870551 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 556 
856 4 0 |u http://dx.doi.org/10.1007/978-981-287-056-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)