Crafting digital doublesEnhancing shape acquisition and material representation
Crafting digital doubles
Enhancing shape acquisition and material representation
dc.contributor.advisor | Hullin, Matthias | |
dc.contributor.author | Thiel, Sebastian | |
dc.date.accessioned | 2020-08-12T14:08:25Z | |
dc.date.available | 2020-08-12T14:08:25Z | |
dc.date.issued | 12.08.2020 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11811/8521 | |
dc.description.abstract | The demand for digital applications follows the unhindered growth of the digitization of tasks across many fields, including the entertainment industry, education and science but also work environments. Common tasks thereby involve the generation of photorealistic renderings for movie scenes, illustrations of objects that are not directly accessible or placing virtual objects in real > the specific field, visualization applications are often based on computer-generated imagery (CGI). A key component of CGI are digital doubles, the digital recreation and combination of real-world objects, enc> In this thesis, we will present three approaches to widen the gamut and enhance the quality of digital doubles. We improve shape acquisition techniques for low-cost of-the-shelf hardware solutions and introduce a new digital material that unlocks the recreation of worn surfaces with microscopic scratches. | en |
dc.language.iso | eng | |
dc.rights | In Copyright | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Computergrafik | |
dc.subject | Grafik | |
dc.subject | Rendering | |
dc.subject | Photorealismus | |
dc.subject | Beugung | |
dc.subject | Graphics | |
dc.subject | Photorealism | |
dc.subject | Shape acquisition | |
dc.subject | digital double | |
dc.subject | diffraction | |
dc.subject.ddc | 004 Informatik | |
dc.title | Crafting digital doubles | |
dc.title.alternative | Enhancing shape acquisition and material representation | |
dc.type | Dissertation oder Habilitation | |
dc.publisher.name | Universitäts- und Landesbibliothek Bonn | |
dc.publisher.location | Bonn | |
dc.rights.accessRights | openAccess | |
dc.identifier.urn | https://nbn-resolving.org/urn:nbn:de:hbz:5-59251 | |
ulbbn.pubtype | Erstveröffentlichung | |
ulbbn.birthname | Werner | |
ulbbnediss.affiliation.name | Rheinische Friedrich-Wilhelms-Universität Bonn | |
ulbbnediss.affiliation.location | Bonn | |
ulbbnediss.thesis.level | Dissertation | |
ulbbnediss.dissID | 5925 | |
ulbbnediss.date.accepted | 25.06.2020 | |
ulbbnediss.institute | Mathematisch-Naturwissenschaftliche Fakultät : Fachgruppe Informatik / Institut für Informatik | |
ulbbnediss.fakultaet | Mathematisch-Naturwissenschaftliche Fakultät | |
dc.contributor.coReferee | Klein, Reinhard |
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