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020			_a9789811633911
024	7		_a10.1007/978-981-16-3391-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK882.I6 _b2021 EB
245	1	0	_a3D Imaging Technologies-Multi-dimensional Signal Processing and Deep Learning : _bMathematical Approaches and Applications, Volume 1 _cedited by Lakhmi C. Jain, Roumen Kountchev, Junsheng Shi.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XII, 348 páginas) _b165 ilustraciones, 102 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3026 _v234
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm -- Chapter 2. Research on Car Seat Comfort Evaluation System Based on Chinese Population -- Chapter 3. Classification Method Active Pulmonary Tuberculosis With 3D Texture Features From CT Images -- Chapter 4. Research on Building Extraction from High Resolution Remote Sensing Image Based on Improved U-Net -- Chapter 5. A Survey of Image Classification Algorithms Based on Graph Neural Networks -- Chapter 6. Biological Particle Recognition Based on BP Neural Network Algorithm -- Chapter 7. License Plate Recognition System Based on OpenCV -- Chapter 8. ImageCube: A Low-cost 6D Controller with Smooth Tracking for Mobile Augmented Reality -- Chapter 9. Overview of SAR Image Change Detection -- Chapter 10. Overview of SAR Image Denoising Based on Transform Domain -- Chapter 11. An Improved Method of Non-local Means Denoising Based on Histogram -- Chapter 12. Overview of Speckle Noise Suppression Methods in SAR Image Based on NLM -- Chapter 13. Overview of SAR Image Feature Extraction and Target Recognition -- Chapter 14. Image Recognition Based on Super-resolution Wasserstein Generative Adversarial Nets with Gradient Penalty -- Chapter 15. LUCC and Landscape Pattern Variation in The Lower Tarim River By Remote Sensing.
520	3		_aThis book presents high-quality research in the field of 3D imaging technology. The second edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first 3DIT conference (IC3DIT2019) to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
988			_aSpringer_Robotics_2021
650		7	_2embne _9141143 _aGráficos de ordenador
700			_aJain, Lakhmi C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996931
700	1		_aKountchev, Roumen _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _999182
700	1		_aShi, Junsheng _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681829
776	0	8	_iPrinted edition: _z9789811633904
776	0	8	_iPrinted edition: _z9789811633928
776	0	8	_iPrinted edition: _z9789811633935
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3391-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE