001439332 000__ 05139cam\a2200577\i\4500 001439332 001__ 1439332 001439332 003__ OCoLC 001439332 005__ 20230309004423.0 001439332 006__ m\\\\\o\\d\\\\\\\\ 001439332 007__ cr\un\nnnunnun 001439332 008__ 210902s2021\\\\gw\a\\\\ob\\\\000\0\eng\d 001439332 019__ $$a1266904731 001439332 020__ $$a9783658351922$$q(electronic bk.) 001439332 020__ $$a3658351926$$q(electronic bk.) 001439332 020__ $$z9783658351915 001439332 020__ $$z3658351918 001439332 0247_ $$a10.1007/978-3-658-35192-2$$2doi 001439332 035__ $$aSP(OCoLC)1266356306 001439332 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dNOC$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ 001439332 049__ $$aISEA 001439332 050_4 $$aQA76.9.H85$$bS38 2021 001439332 08204 $$a006.8$$223 001439332 1001_ $$aSchwandt, Tobias,$$eauthor. 001439332 24510 $$aHigh-quality illumination of virtual objects based on an environment estimation in mixed reality applications /$$cTobias Schwandt. 001439332 264_1 $$aWiesbaden :$$bSpringer Vieweg,$$c[2021] 001439332 264_4 $$c©2021 001439332 300__ $$a1 online resource :$$billustrations 001439332 336__ $$atext$$btxt$$2rdacontent 001439332 337__ $$acomputer$$bc$$2rdamedia 001439332 338__ $$aonline resource$$bcr$$2rdacarrier 001439332 504__ $$aIncludes bibliographical references. 001439332 5050_ $$aIntro -- Acknowledgment -- Abstract -- Kurzfassung -- Contents -- Abbreviations -- List of Algorithms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 1.3 Thesis Outline -- 2 Fundamentals & State of the Art -- 2.1 Light Transport -- 2.1.1 Photometry & Radiometry -- 2.1.2 Rendering Equation -- 2.2 Global Illumination -- 2.2.1 Ray Tracing -- 2.2.2 Rasterization -- 2.3 Mixed Reality -- 2.3.1 Object Detection -- 2.3.2 Light Estimation -- 2.4 Reconstruction -- 2.4.1 Geometry -- 2.4.2 Material -- 2.4.3 Light -- 2.5 Neural Networks & Deep Learning 001439332 5058_ $$a3 Illumination in Mixed Reality -- 3.1 Scene Reconstruction -- 3.1.1 Spatial Information -- 3.1.2 Materials -- 3.1.3 Local Light Sources -- 3.2 Environment Light -- 3.2.1 Single Image Estimation -- 3.2.2 Lookup Texture -- 3.2.3 Stitching -- 3.2.4 Estimation with Neural Network -- 3.3 Reflections -- 4 Realization -- 4.1 Architecture -- 4.2 Physically Based Rendering -- 4.3 Light & Shadows -- 4.4 Lookup Texture -- 4.5 Stitching -- 4.6 Neural Network -- 4.7 Filtering of Light Probes -- 4.8 Rendering in Mixed Reality -- 4.9 Post-Processing -- 4.9.1 Ambient Occlusion -- 4.9.2 Screen Space Reflections 001439332 5058_ $$a4.9.3 Anti-Aliasing -- 5 Results -- 5.1 Scenarios -- 5.1.1 Punctual Lights -- 5.1.2 Directional Light -- 5.1.3 Area Lights -- 5.1.4 Environment -- 5.1.5 Manipulation -- 5.2 Rendering -- 5.3 Performance -- 6 Discussion & Limitations -- 7 Conclusion & Outlook -- Glossary -- Bibliography 001439332 506__ $$aAccess limited to authorized users. 001439332 520__ $$aVisualizations of virtual objects in the real environment is often done by a simplified representation with simple surfaces and without reference to the surrounding environment. The seamless fusion of the virtual and real environment is, however, an essential factor in many areas, which is of particular importance when calculating lighting in mixed realities on mobile devices. Current approaches focus on approximations, which allow the calculation of diffuse lighting, whereby the rendering of glossy reflection properties is often neglected. The aim of this book is to enable the visualization of mirror-like reflective surfaces in mixed reality. In order to achieve this goal, various approaches are explored enabling high-quality visualization of virtual objects in realtime with a focus on the use of common hardware such as cameras, sensors in mobile devices, and partially depth sensors. Complete ambient lighting can be estimated, which enables detailed reflections. The results provide a novel way to embed complex and simple geometric shapes with glossy surfaces in the real world which offers a higher level of detail in the reflections without using additional hardware. About the author Tobias Schwandts professional and personal focus at the TU Ilmenau is the area of Mixed-Reality (MR). Within his dissertation, he particularly concerned himself with the topic of illumination of virtual content in AR, its influence on the real environment, the reconstruction of the environment light, and the manipulation of real geometry by virtual content. 001439332 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 17, 2021). 001439332 650_0 $$aMixed reality. 001439332 650_0 $$aVisualization. 001439332 650_0 $$aLighting. 001439332 650_6 $$aRéalité mixte. 001439332 650_6 $$aVisualisation. 001439332 650_6 $$aÉclairage. 001439332 655_0 $$aElectronic books. 001439332 77608 $$iPrint version:$$aSchwandt, Tobias.$$tHigh-quality illumination of virtual objects based on an environment estimation in mixed reality applications.$$dWiesbaden : Springer Vieweg, [2021]$$z3658351918$$z9783658351915$$w(OCoLC)1260131925 001439332 852__ $$bebk 001439332 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-35192-2$$zOnline Access$$91397441.1 001439332 909CO $$ooai:library.usi.edu:1439332$$pGLOBAL_SET 001439332 980__ $$aBIB 001439332 980__ $$aEBOOK 001439332 982__ $$aEbook 001439332 983__ $$aOnline 001439332 994__ $$a92$$bISE