Advances in Object Recognition Systems (Record no. 72586)

MARC details
000 -LEADER
fixed length control field 02639naaaa2200301uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/66073
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220071227.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 2392
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789535105985
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789535156468
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/2392
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kypraios, Ioannis
Relationship edt
245 10 - TITLE STATEMENT
Title Advances in Object Recognition Systems
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. IntechOpen
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (184 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. An invariant object recognition system needs to be able to recognise the object under any usual a priori defined distortions such as translation, scaling and in-plane and out-of-plane rotation. Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even within background clutter noise. In this book, we present recent advances towards achieving fully-robust object recognition. The relation and importance of object recognition in the cognitive processes of humans and animals is described as well as how human- and animal-like cognitive processes can be used for the design of biologically-inspired object recognition systems. Colour processing is discussed in the development of fully-robust object recognition systems. Examples of two main categories of object recognition systems, the optical correlators and pure artificial neural network architectures, are given. Finally, two examples of object recognition's applications are described in details. With the recent technological advancements object recognition becomes widely popular with existing applications in medicine for the study of human learning and memory, space science and remote sensing for image analysis, mobile computing and augmented reality, semiconductors industry, robotics and autonomous mobile navigation, public safety and urban management solutions and many more others. This book is a "must-read" for everyone with a core or wider interest in this "hot" area of cutting-edge research.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/3.0/
Source of term cc
-- https://creativecommons.org/licenses/by/3.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision
Source of heading or term bicssc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Image processing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kypraios, Ioannis
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mts.intechopen.com/storage/books/1976/authors_book/authors_book.pdf">https://mts.intechopen.com/storage/books/1976/authors_book/authors_book.pdf</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/66073">https://directory.doabooks.org/handle/20.500.12854/66073</a>
Access status 0
Public note DOAB: description of the publication

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