An augmented reality facet mapping technique for ray tracing applications

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dc.contributor.advisorKoutitas, George
dc.contributor.authorSiddaraju, Varun Kumar
dc.contributor.committeeMemberAslan, Semih
dc.contributor.committeeMemberValles, Damian
dc.date.accessioned2019-02-13T17:32:18Z
dc.date.available2019-02-13T17:32:18Z
dc.date.issued2018-12
dc.description.abstractThis research presents a novel spatial mapping technique that is capable of extracting the vector map of an indoor environment based on the images captured from a smartphone camera and the spatial maps captured from the Microsoft HoloLens. The extracted vector map follows the facet model concept and can be used as input in ray tracing algorithm. The ray tracing algorithm is used for visualizing and predicting the indoor wireless channels. The proposed solution offers three different algorithms, the first algorithm (Low cost 2D image to facet model algorithm) uses the edge and corner detection algorithms to compute the coordinates of the walls and doors of the indoor environment. The second algorithm (Minimum- maximum algorithm) computes the spatial map corner vertices by using the data processing techniques. The third algorithm (Spatial understanding algorithm) uses the Microsoft HoloLens Toolkit’s “spatial understanding” feature to compute the spatial maps for detecting and measuring the individual wall dimensions. Finally, using the corner coordinates, spatial corner vertices and individual wall dimensions from all the three algorithms, a simple 3D vector map is designed. The output of all the algorithms is a facet model that can be used by ray tracing algorithms which are embedded in Augmented Reality (AR) applications. The overall process provides a better human-to-network interface and an improved user experience that is expected to provide a new way for indoor network planning of residential 5G systems.
dc.description.departmentEngineering
dc.formatText
dc.format.extent112 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationSiddaraju, V. K. (2018). <i>An augmented reality facet mapping technique for ray tracing applications</i> (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/7872
dc.language.isoen
dc.subjectAugmented reality
dc.subjectRay tracing
dc.subjectImage processing
dc.subjectCorner detection
dc.subjectMATLAB
dc.subjectDoor detection
dc.subjectMicrosoft HoloLens
dc.subjectSpatial mapping
dc.subjectFacet model
dc.subjectIndoor environment mapping
dc.subject.lcshRay tracing algorithmsen_US
dc.subject.lcshAugmented realityen_US
dc.subject.lcshVirtual realityen_US
dc.titleAn augmented reality facet mapping technique for ray tracing applications
dc.typeThesis
thesis.degree.departmentEngineering
thesis.degree.disciplineEngineering
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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