Identificacion Principal del registro INGC-EBK-000919

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160906094942

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140523s2014 si | s |||| 0|eng d

a International Standard Book Number 9789812870568

a Standard number or code 10.1007/978-981-287-056-8

a Personal name Pisharady, Pramod Kumar.

a Title Computational Intelligence in Multi-Feature Visual Pattern Recognition

h Medium [libro electrónico] : ;

b Remainder of title Hand Posture and Face Recognition using Biologically Inspired Approaches /

c Statement of responsibility, etc by Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh.

a Place of publication, distribution, etc Singapore :

b Name of publisher, distributor, etc Springer Singapore :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xiii, 138 p. :

b Other physical details il.

a Series statement Studies in Computational Intelligence,

x International Standard Serial Number 1860-949X ;

v Volume number/sequential designation 556

a Formatted contents note 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.

a Summary, etc 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.

a Topical term or geographic name as entry element Algorithms.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Pattern Recognition.

a Personal name Vadakkepat, Prahlad.

a Personal name Poh, Loh Ai.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-981-287-056-8

c item type EBK

a descripción COM