國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Evolutionary computer visionthe firs...

Olague, Gustavo.

Evolutionary computer visionthe first footprints /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary computer visionby Gustavo Olague.
其他題名:	the first footprints /
作者:	Olague, Gustavo.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2016.
面頁冊數:	xxii, 411 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer vision.
電子資源:	http://dx.doi.org/10.1007/978-3-662-43693-6
ISBN:	9783662436936$q(electronic bk.)

Evolutionary computer visionthe first footprints /
Olague, Gustavo.

Evolutionary computer visionthe first footprints /[electronic resource] :by Gustavo Olague. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xxii, 411 p. :ill. (some col.), digital ;24 cm. - Natural computing series,1619-7127. - Natural computing series..

Introduction -- Vision and Evolution: The State of the Art -- Evolutionary Computing -- Accurate Modeling of Image Features Using Evolutionary Computing -- Evolutionary Synthesis of Interest Point Detectors Through Genetic Programming -- The Honeybee Search Algorithm -- Multiobjective Sensor Planning for Accurate Reconstruction -- Evolutionary Visual Learning with Linear Genetic Programming -- Evolutionary Synthesis of Feature Descriptor Operators with Genetic Programming -- Summary and Conclusions -- App. A, Camera Calibration and Stereoscopic Vision -- Glossary -- Index.

This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision. This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.

ISBN: 9783662436936$q(electronic bk.)

Standard No.: 10.1007/978-3-662-43693-6doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: T385

Dewey Class. No.: 006.6

Evolutionary computer visionthe first footprints /
LDR:02772nmm a2200325 a 4500 001 497308
003 DE-He213
005 20160928122854.0
006 m d
007 cr nn 008maaau
008 170420s2016 gw s 0 eng d
020 $a 9783662436936$q(electronic bk.)
020 $a 9783662436929$q(paper)
024 7 $a 10.1007/978-3-662-43693-6 $2 doi
035 $a 978-3-662-43693-6
040 $a GP $c GP
041 0 $a eng
050 4 $a T385
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.6 $2 23
090 $a T385 $b .O42 2016
100 1 $a Olague, Gustavo. $3 759917
245 1 0 $a Evolutionary computer vision $h [electronic resource] : $b the first footprints / $c by Gustavo Olague.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2016.
300 $a xxii, 411 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Natural computing series, $x 1619-7127
505 0 $a Introduction -- Vision and Evolution: The State of the Art -- Evolutionary Computing -- Accurate Modeling of Image Features Using Evolutionary Computing -- Evolutionary Synthesis of Interest Point Detectors Through Genetic Programming -- The Honeybee Search Algorithm -- Multiobjective Sensor Planning for Accurate Reconstruction -- Evolutionary Visual Learning with Linear Genetic Programming -- Evolutionary Synthesis of Feature Descriptor Operators with Genetic Programming -- Summary and Conclusions -- App. A, Camera Calibration and Stereoscopic Vision -- Glossary -- Index.
520 $a This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision. This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
650 0 $a Computer vision. $3 200113
650 0 $a Computer science. $3 199325
650 0 $a Artificial intelligence. $3 194058
650 0 $a Computer graphics. $3 182120
650 0 $a Computational intelligence. $3 210824
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Evolutionary Biology. $3 273704
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Natural computing series. $3 677825
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-43693-6
950 $a Computer Science (Springer-11645)