Computational Intelligence in Multi-Feature Visual Pattern Recognition

Name: Computational Intelligence in Multi-Feature Visual Pattern Recognition
Brand: Springer Verlag, Singapore
SKU: 9789812870551
Price: 423.79 PLN
Availability: InStock

Hand Posture and Face Recognition using Biologically Inspired Approaches

Autor: Pramod Kumar Pisharady, Prahlad Vadakkepat, Ai Poh Loh

Język:

Oprawa: Twarda

Wydawca: Springer Verlag, Singapore

Dostępność: Dostępna u dostawcy

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This book presents a collection of computational intelligence algorithms that addresses issues in vi...

Informacje o książce

Autor

Pramod Kumar Pisharady, Prahlad Vadakkepat, Ai Poh Loh

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2014

strony

138

EAN

9789812870551

ISBN

9812870555

Enbook ID

02546612

Wydawca

Springer Verlag, Singapore

Waga

366

Wymiary

159 x 242 x 13

Pełny opis

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.§

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Computational Intelligence in Multi-Feature Visual Pattern Recognition

Hand Posture and Face Recognition using Biologically Inspired Approaches

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