Feature Extraction and Image Processing for Computer Vision (ePub)

Name: Feature Extraction and Image Processing for Computer Vision
Brand: Elsevier Science & Techn.
SKU: 112389796
Price: 78.95 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Mark Nixon , Alberto Aguado

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Feature Extraction and Image Processing for Computer Vision, Mark Nixon, Alberto Aguado

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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...

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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.

The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning
Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour)
Good balance between providing a mathematical background and practical implementation
Detailed and explanatory of algorithms in MATLAB and Python

Autoren-Porträt von Mark Nixon, Alberto Aguado

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.

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Bibliographische Angaben

Autoren: Mark Nixon , Alberto Aguado
2019, 4. Auflage, 650 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128149779
ISBN-13: 9780128149775
Erscheinungsdatum: 17.11.2019

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Dateiformat: ePub
Größe: 168 MB
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