Computational Intelligence in Multi-Feature Visual Pattern Recognition

Name: Computational Intelligence in Multi-Feature Visual Pattern Recognition
Brand: Springer Verlag, Singapore
SKU: 9789812870551
Price: 551.23 RON
Availability: InStock

Hand Posture and Face Recognition using Biologically Inspired Approaches

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

Limbă:

Legare: Copertă tare

Editura: Springer Verlag, Singapore

Disponibilitate: În depozitul extern

Expediem în 10-13 zile

551.23 lei

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

Informații despre carte

Autor

Pramod Kumar Pisharady, Prahlad Vadakkepat, Ai Poh Loh

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2014

Pagini

138

EAN

9789812870551

ISBN

9812870555

Enbook ID

02546612

Editura

Springer Verlag, Singapore

Greutate

366

Dimensiuni

159 x 242 x 13

Descriere completă

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.§

S-ar putea să te intereseze

Clienții care au cumpărat această carte au mai cumpărat și

Cele mai căutate

Categories

Authors

Publishers

Produse

Produse

Cele mai căutate

Categories

Authors

Publishers

Produse

Produse

Computational Intelligence in Multi-Feature Visual Pattern Recognition

Hand Posture and Face Recognition using Biologically Inspired Approaches

Informații despre carte

Descriere completă

S-ar putea să te intereseze

Clienții care au cumpărat această carte au mai cumpărat și