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Dictionary of Computer Vision and Image Processing 2nd edition [Minkštas viršelis]

(University of Oxford, UK), (University of Dundee, UK), (University of Edinburgh, UK), (Durham University, UK), (Trinity College Dublin, Ireland), (University of Edinburgh, UK), (Glasgow School of Art, UK)
  • Formatas: Paperback / softback, 384 pages, aukštis x plotis x storis: 231x155x21 mm, weight: 504 g
  • Išleidimo metai: 27-Dec-2013
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119941865
  • ISBN-13: 9781119941866
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 384 pages, aukštis x plotis x storis: 231x155x21 mm, weight: 504 g
  • Išleidimo metai: 27-Dec-2013
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119941865
  • ISBN-13: 9781119941866
Kitos knygos pagal šią temą:
"The subjects of computer vision and image processing have advanced very much over the past 5 years, and keeping up to date in this fast-moving subject area can be very challenging.The Second Edition of the Dictionary of Computer Vision & Image Processing features over 3000 of the most commonly used terms in the field of computer vision, machine learning, image analysis and image processing, with approximately 1000 new terms having been identified for inclusion since the current edition was published. Revised to include an additional 1000 new terms to reflect current updates, which includes a significantly increased focus on image processing terms, as well as machine learning terms. Now includes citations to the terms to point to further reading about each term. Easy to follow structure with grouping of terms for ease of reference, comprehensive selection of terms, readers can use with confidence as written by leading researchers in the field. A new feature of this edition is the supplementary regrouping of related terms by concept. Illustrated throughout with associated diagrams and images provided to help clarify explanation. Fully revised and updated this Dictionary is ideal for Final year undergraduates, Masters and PhD students; and early stage career researchers in computer vision and image processing"--



Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances.

New features of the 2nd Edition:

  • Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms;
  • Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding;
  • Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.

Preface ix

Numbers 1

A 7

B 25

C 40

D 71

E 86

F 94

G 106

H 119

I 127

J 143

K 144

L 148

M 162

N 185

O 192

P 201

Q 225

R 228

S 245

T 286

U 299

V 303

W 314

X 320

Y 321

Z 322

References 324

Robert B. Fisher, University of Edinburgh, UK Toby P. Breckon, Durham University, UK Kenneth Dawson-Howe, Trinity College Dublin, Ireland Andrew Fitzgibbon, Microsoft Research, UK Craig Robertson, Epipole Ltd., UK Emanuele Trucco, University of Dundee, UK Christopher K. I. Williams, University of Edinburgh, UK