Foundations of Computer Vision (Record no. 12272)
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000 -LEADER | |
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fixed length control field | 04115nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-52483-2 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20211203114906.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170318s2017 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783319524832 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | AIKTC-KRRC |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | ENG |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TEC009000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Peters, James F. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT | |
Title | Foundations of Computer Vision |
Medium | [electronic resource] : |
Remainder of title | Computational Geometry, Visual Image Structures and Object Shape Detection / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cham : |
Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XVII, 431 p. 354 illus., 301 illus. in color. |
Other physical details | | Binding - Card Paper | |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Intelligent Systems Reference Library, |
International Standard Serial Number | 1868-4394 ; |
Volume/sequential designation | 124 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Engineering |
9 (RLIN) | 4622 |
653 ## - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Image Processing and Computer Vision. |
653 ## - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Artificial Intelligence. |
653 ## - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Applications of Graph Theory and Complex Networks. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783319524818 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783319524825 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783319849126 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Intelligent Systems Reference Library, |
International Standard Serial Number | 1868-4394 ; |
Volume/sequential designation | 124 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-52483-2 |
Public note | Click here to access eBook in Springer Nature platform. (Within Campus only.) |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
Source of classification or shelving scheme |
No items available.