Feature Extraction and Image Processing for Computer Vision - Tapa blanda

Nixon, Mark; Aguado, Alberto

 
9780128149768: Feature Extraction and Image Processing for Computer Vision
Tapa blanda
ISBN 10: 0128149760 ISBN 13: 9780128149768
Editorial: Academic Press, 2019

Sinopsis

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained.

This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

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Acerca de los autores

Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.

Alberto Aguado is a Lead Programmer at Rare Ltd., Microsoft, UK

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Academic Press
Año de publicación
2019
Idioma
Inglés
ISBN 10 
0128149760
ISBN 13 
9780128149768
Encuadernación
Tapa blanda
Número de edición
4
Número de páginas
650
Contacto del fabricante
Academic Press
https://shop.elsevier.com/

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