Computational Intelligence in Multi-Feature Visual Pattern Recognition

Name: Computational Intelligence in Multi-Feature Visual Pattern Recognition
Brand: Springer Verlag, Singapore
SKU: 9789812870551
Price: 38633 HUF
Availability: InStock

Hand Posture and Face Recognition using Biologically Inspired Approaches

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

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Verlag, Singapore

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Pramod Kumar Pisharady, Prahlad Vadakkepat, Ai Poh Loh

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2014

oldal

138

EAN

9789812870551

ISBN

9812870555

Enbook ID

02546612

Kiadó

Springer Verlag, Singapore

Súly

366

Méretek

159 x 242 x 13

Teljes leírás

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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