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008			210608s2021 sz | o |||| 0|eng d
020			_a9783030710026
024	7		_a10.1007/978-3-030-71002-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .U83 _b2021 EB
245	1	0	_aIntelligent Scene Modeling and Human-Computer Interaction _cedited by Nadia Magnenat Thalmann, Jian Jun Zhang, Manoj Ramanathan, Daniel Thalmann.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XI, 282 páginas) _b80 ilustraciones, 74 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aHuman-Computer Interaction Series _x2524-4477
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aPreface -- Part I: Intelligent Scene Modeling -- Introduction -- Object Detection: State of the Art and Beyond -- NBNN-Based Discriminative 3D Action and Gesture Recognition -- Random Forests with Optimized Leaves for Hough-Voting -- Modeling Human Perception of 3D Scenes -- Model Reconstruction of Real-world 3D Objects: An Application with Microsoft HoloLens -- Semantic Modeling and Rendering -- Content-aware Semantic Indoor Scene Modeling from a Single Image -- Interactive Labeling for Generation of CityGML Building Models from Meshes -- TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments -- Generating 3D Facial Expressions with Recurrent Neural Networks -- Part 2: Human-computer Interaction -- Facilitating Decision Making with Multimodal Interfaces in Collaborative Analytical Sessions -- Human - Technology Interaction: The State of the Art and the Lack of Naturalism -- Survey of Speechless Interaction Techniques in Social Robotics -- Exploring Potential and Acceptance of Socially Intelligent Robot.
520	3		_aThis edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes: · Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors · Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition · How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces · Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications. Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling. .
988			_aSpringer_Computer_2021
650		7	_2embne _aInterfaces de ordenador _9143866
700	1		_aThalmann, Nadia Magnenat _eeditor literario _0(orcid)0000-0002-1459-5960 _1https://orcid.org/0000-0002-1459-5960 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZhang, Jian Jun _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRamanathan, Manoj _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aThalmann, Daniel _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030710019
776	0	8	_iPrinted edition: _z9783030710033
776	0	8	_iPrinted edition: _z9783030710040
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71002-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eh _zSI