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dc.contributor.advisorMayfield, Blayne E.
dc.contributor.authorStraughn, Glen Kemp
dc.date.accessioned2019-03-20T19:09:58Z
dc.date.available2019-03-20T19:09:58Z
dc.date.issued2018-05-01
dc.identifier.urihttps://hdl.handle.net/11244/317619
dc.description.abstractLighting is a major factor in the perceived realism of virtual objects, and thus lighting virtual objects so that they appear to be illuminated by real-world light sources - a process known as inverse lighting - is a crucial component to creating realistic augmented reality images. This work presents a new, real-time inverse lighting method that samples the light reflected off of a regular, twelve-sided (dodecahedral), 3D object to estimate the light direction of a scene's primary light source. Using the light sample results, each visible face of the dodecahedron is determined to either be in light or in shadow. One or more light vectors then are calculated for each face by either using the surface normal vector of the face as a light direction vector if the face is in light, or by reflecting the face's surface normal across the normal vector of every adjacent illuminated face in the case of shadowed faces. If the shadowed face is not adjacent to any illuminated faces, the normal vector is reversed instead. These light vectors then are averaged to produce a vector pointing to the primary light source in the environment. This method is designed with special consideration to ease of use for the user, requiring no configuration stages.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleReal-Time Inverse Lighting for Augmented Reality Using a Dodecahedral Marker
dc.contributor.committeeMemberThomas, Johnson P.
dc.contributor.committeeMemberCline, David
osu.filenameStraughn_okstate_0664M_15657.pdf
osu.accesstypeOpen Access
dc.description.departmentComputer Science
dc.type.genreThesis
dc.type.materialtext


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