000			03477nam a22004095i 4500
001			86428
003			ES-MaUEC
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007			cr nn 008mamaa
008			160928s2016 gw | s |||| 0|eng d
020			_a9783662436936
024	7		_a10.1007/978-3-662-43693-6 _2doi
040			_aES-MaUEC
050		4	_aT385 _b.O43 2016 EB
082	0	4	_a006.6
100	1		_aOlague, Gustavo _9100123 _0Local
245	1	0	_aEvolutionary Computer Vision : _bThe First Footprints _cby Gustavo Olague
260			_aBerlin, Heidelberg _bSpringer Berlin Heidelberg _c2016
300			_a1 recurso en línea (XXII, 411 p.) _b155 ilustraciones, 103 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aNatural Computing Series _x1619-7127
505	0		_aIntroduction -- 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			_aThis 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
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aGráficos de ordenador _0comprobar BNE19900994608 _2embne _9141143
650		7	_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115
830		0	_aNatural Computing Series _x1619-7127 _9134279
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-43693-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783662436936
907			_a.b12957069 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b09-09-17 _cm _dz _eo _feng _ggw _h0
945			_aT385 .O43 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11598864 _z06-04-17
999			_c86428 _d86428 _x1