05718nam 2201417z- 450 991063998510332120231214133044.03-0365-6062-9(CKB)5470000001633503(oapen)https://directory.doabooks.org/handle/20.500.12854/95825(EXLCZ)99547000000163350320202301d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAugmented Reality, Virtual Reality & Semantic 3D ReconstructionBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (304 p.)3-0365-6061-0 Augmented reality is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs. In practical terms, this innovation can be used to visualize data from hundreds of sensors simultaneously, overlaying relevant and actionable information over your environment through a headset. Semantic 3D reconstruction unlocks the promise of AR technology, possessing a far greater availability of semantic information. Although, there are several methods currently available as post-processing approaches to extract semantic information from the reconstructed 3D models, the results obtained results have been uncertain and evenly incorrect. Thus, it is necessary to explore or develop a novel 3D reconstruction approach to automatically recover 3D geometry model and obtained semantic information simultaneously. The rapid advent of deep learning brought new opportunities to the field of semantic 3D reconstruction from photo collections. Deep learning-based methods are not only able to extract semantic information but can also enhance fundamental techniques in semantic 3D reconstruction, techniques which include feature matching or tracking, stereo matching, camera pose estimation, and use of multi-view stereo methods. Moreover, deep learning techniques can be used to extract priors from photo collections, and this obtained information can in turn improve the quality of 3D reconstruction.Technology: general issuesbicsscHistory of engineering & technologybicsscfeature trackingsuperpixelstructure from motionthree-dimensional reconstructionlocal featuremulti-view stereoconstruction hazardsafety educationphotorealityvirtual realityanatomizationaudio classificationolfactory displaydeep learningtransfer learninginception modelaugmented realityhigher educationscientific productionweb of sciencebibliometric analysisscientific mappingapplications in subject areasinteractive learning environments3P modelprimary educationeducational technologymobile lip reading systemlightweight neural networkface correctionvirtual reality (VR)computer visionprojection mapping3D face modelsuper-resolutionradial curveDynamic Time Warpingsemantic 3D reconstructioneye-in-hand vision systemrobotic manipulatorprobabilistic fusiongraph-based refinement3D modelling3D representationgame enginelaser scanningpanoramic photographysuper-resolution reconstructiongenerative adversarial networksdense convolutional networkstexture lossWGAN-GPorientationpositioningviewpointimage matchingalgorithmtransformationADHDEDAHassessmentcontinuous performance testPhotometric Stereo (PS)3D reconstructionfully convolutional network (FCN)semi-immersive virtual realitychildrencooperative gamesempowermentperceptionmotor planningproblem-solvingarea of interestwayfindingspatial informationone-shot learninggesture recognitionGRENskeleton-based3D compositionpre-visualizationstereo vision360° videoTechnology: general issuesHistory of engineering & technologyLv Zhihanedt1217078Wang Jing-YanedtKumar NeerajedtLloret JaimeedtLv ZhihanothWang Jing-YanothKumar NeerajothLloret JaimeothBOOK9910639985103321Augmented Reality, Virtual Reality & Semantic 3D Reconstruction3014583UNINA04754nam 22009015 450 991036085240332120240709094004.09783030314118303031411110.1007/978-3-030-31411-8(CKB)4100000009844896(DE-He213)978-3-030-31411-8(MiAaPQ)EBC5975561(PPN)26914630X(MiAaPQ)EBC31886857(Au-PeEL)EBL31886857(OCoLC)1499722484(EXLCZ)99410000000984489620191109d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierGeometric multivector analysis from Grassmann to Dirac /Andreas Rosén1st ed.Cham :Springer International Publishing :Imprint: Birkhäuser,[2019].©20191 online resource (XIII, 465 pages, 29 illustrations., 8 illustrations. in color.)Birkhäuser Advanced Texts Basler Lehrbücher,2296-48949783030314101 3030314103 Prelude: Linear algebra -- Exterior algebra -- Clifford algebra -- Mappings of inner product spaces -- Spinors in inner product spaces -- Interlude: Analysis -- Exterior calculus -- Hodge decompositions -- Hypercomplex analysis -- Dirac equations -- Multivector calculus on manifolds -- Two index theorems.This book presents a step-by-step guide to the basic theory of multivectors and spinors, with a focus on conveying to the reader the geometric understanding of these abstract objects. Following in the footsteps of M. Riesz and L. Ahlfors, the book also explains how Clifford algebra offers the ideal tool for studying spacetime isometries and Möbius maps in arbitrary dimensions. The book carefully develops the basic calculus of multivector fields and differential forms, and highlights novelties in the treatment of, e.g., pullbacks and Stokes’s theorem as compared to standard literature. It touches on recent research areas in analysis and explains how the function spaces of multivector fields are split into complementary subspaces by the natural first-order differential operators, e.g., Hodge splittings and Hardy splittings. Much of the analysis is done on bounded domains in Euclidean space, with a focus on analysis at the boundary. The book also includes a derivation of new Dirac integral equations for solving Maxwell scattering problems, which hold promise for future numerical applications. The last section presents down-to-earth proofs of index theorems for Dirac operators on compact manifolds, one of the most celebrated achievements of 20th-century mathematics. The book is primarily intended for graduate and PhD students of mathematics. It is also recommended for more advanced undergraduate students, as well as researchers in mathematics interested in an introduction to geometric analysis.Birkhäuser Advanced Texts Basler Lehrbücher,2296-4894Algebras, LinearGlobal analysis (Mathematics)Manifolds (Mathematics)Differential equationsIntegral equationsGeometry, DifferentialLinear AlgebraGlobal Analysis and Analysis on ManifoldsDifferential EquationsIntegral EquationsDifferential GeometryAnàlisi global (Matemàtica)lemacÀlgebra lineallemacGeometria diferenciallemacEquacions diferencialslemacEquacions integralslemacVarietats (Matemàtica)lemacAlgebras, Linear.Global analysis (Mathematics)Manifolds (Mathematics)Differential equations.Integral equations.Geometry, Differential.Linear Algebra.Global Analysis and Analysis on Manifolds.Differential Equations.Integral Equations.Differential Geometry.Anàlisi global (Matemàtica)Àlgebra linealGeometria diferencialEquacions diferencialsEquacions integralsVarietats (Matemàtica)512.5Rosén Andreasauthttp://id.loc.gov/vocabulary/relators/aut781339MiAaPQMiAaPQMiAaPQBOOK9910360852403321Geometric Multivector Analysis1732489UNINA