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.
Robert B. Fisher
, Toby P. Breckon
, Kenneth Dawson-Howe
, Andrew FitzGibbon
, Craig Robertson
Country of Publication:
27 December 2013
Professional and scholarly
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