Local Image Descriptor: Modern Approaches

This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and t...

Full description

Bibliographic Details
Published in:Springer eBooks
Main Authors: Fan, Bin (Author), Wang, Zhenhua (Author), Wu, Fuchao (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Computer Science,
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-662-49173-7
Перейти в каталог НБ ТГУ
LEADER 02948nam a22005775i 4500
001 vtls000562002
003 RU-ToGU
005 20210922090607.0
007 cr nn 008mamaa
008 170213s2015 gw | s |||| 0|eng d
020 |a 9783662491737  |9 978-3-662-49173-7 
024 7 |a 10.1007/978-3-662-49173-7  |2 doi 
035 |a to000562002 
039 9 |y 201702130118  |z Александр Эльверович Гилязов 
040 |a Springer  |c Springer  |d RU-ToGU 
050 4 |a TA1637-1638 
050 4 |a TA1634 
072 7 |a UYT  |2 bicssc 
072 7 |a UYQV  |2 bicssc 
072 7 |a COM012000  |2 bisacsh 
072 7 |a COM016000  |2 bisacsh 
082 0 4 |a 006.6  |2 23 
082 0 4 |a 006.37  |2 23 
100 1 |a Fan, Bin.  |e author.  |9 469389 
245 1 0 |a Local Image Descriptor: Modern Approaches  |h electronic resource  |c by Bin Fan, Zhenhua Wang, Fuchao Wu. 
250 |a 1st ed. 2015. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015.  |9 742158 
300 |a XII, 99 p. 33 illus., 7 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
520 |a This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book. 
650 0 |a Computer Science.  |9 155490 
650 0 |a Artificial intelligence.  |9 274099 
650 0 |a Image Processing.  |9 304128 
650 0 |a Pattern Recognition.  |9 304129 
650 1 4 |a Computer Science.  |9 155490 
650 2 4 |a Image Processing and Computer Vision.  |9 303601 
650 2 4 |a Pattern Recognition.  |9 304129 
650 2 4 |a Artificial Intelligence (incl. Robotics).  |9 274102 
700 1 |a Wang, Zhenhua.  |e author.  |9 469390 
700 1 |a Wu, Fuchao.  |e author.  |9 469391 
710 2 |a SpringerLink (Online service)  |9 143950 
773 0 |t Springer eBooks 
830 0 |a SpringerBriefs in Computer Science,  |9 412137 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-49173-7 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=416429 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645) 
999 |c 416429  |d 416429