000			03683nam a22004095i 4500
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
710	2		_aSpringerLink (Online service) _9106996
999			_c111527 _d111527 _x1
001			111527
003			ES-MaUEC
005			20240111050155.0
008			181214s2019 gw a o |||| 0|eng d
020			_a9783030030001
024	7		_a10.1007/978-3-030-03000-1 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQ342 _b2019 EB
245	0	0	_aRecent Advances in Computer Vision : _bTheories and Applications _cedited by Mahmoud Hassaballah, Khalid M. Hosny.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XV, 425 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Computational Intelligence _x1860-949X _v804
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aComputer Vision for Supporting Fashion Creative Processes -- Facial Features Detection and Localization -- Advances and Trends in Video Face Alignment -- Video Similarity Measurement and Search -- Analysis and Evaluation of Keypoint Descriptors for Image Matching -- Feature Extraction of Color images using Quaternion Moments -- Face recognition Using Exact Gaussian-Hermit Moments and Nonnegative Matrix Factorization -- Face Recognition with Discrete Orthogonal Moments -- Content-Based Image Retrieval using Multiresolution Feature Descriptors -- Landmark Recognition: From Small-Scale to Large-Scale Retrieval -- Ocean Ecosystems Plankton Classification -- Boundary Detection of Echocardiographic Images during Mitral Regurgitation -- Motion Estimation Made Easy: Evolution and Trends in Visual Odometry -- Deep Ear Recognition Pipeline -- Scene Classification Using Transfer Learning -- Hyperspectral Image: Fundamentals and Advances.
520	3		_aThis book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aHassaballah, Mahmoud _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _998526
700	1		_aHosny, Khalid M. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030029999
776	0	8	_iPrinted edition: _z9783030030018
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-03000-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI