Visualization of urban environments

Simple item page
buir.advisorGüdükbay, Uğur
dc.contributor.authorYılmaz, Türker
dc.date.accessioned2016-01-08T18:01:33Z
dc.date.available2016-01-08T18:01:33Z
dc.date.issued2007
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionAnkara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2007.en_US
dc.descriptionThesis (Ph. D.) -- Bilkent University, 2007.en_US
dc.descriptionIncludes bibliographical references leaves 108-118en_US
dc.description.abstractModeling and visualization of large geometric environments is a popular research area in computer graphics. In this dissertation, a framework for modeling and stereoscopic visualization of large and complex urban environments is presented. The occlusion culling and view-frustum culling is performed to eliminate most of the geometry that do not contribute to the user’s final view. For the occlusion culling process, the shrinking method is employed but performed using a novel Minkowski-difference-based approach. In order to represent partial visibility, a novel building representation method, called the slice-wise representation is developed. This method is able to represent the preprocessed partial visibility with huge reductions in the storage requirement. The resultant visibility list is rendered using a graphics-processing-unit-based algorithm, which perfectly fits into the proposed slice-wise representation. The stereoscopic visualization depends on the calculated eye positions during walkthrough and the visibility lists for both eyes are determined using the preprocessed occlusion information. The view-frustum culling operation is performed once instead of two for both eyes. The proposed algorithms were implemented on personal computers. Performance experiments show that, the proposed occlusion culling method and the usage of the slice-wise representation increase the frame rate performance by 81 %; the graphics-processing-unit-based display algorithm increases it by an additional 315 % and decrease the storage requirement by 97 % as compared to occlusion culling using building-level granularity and not using the graphics hardware. We show that, a smooth and real-time visualization of large and complex urban environments can be achieved by using the proposed framework.en_US
dc.description.degreePh.D.en_US
dc.description.statementofresponsibilityYılmaz, Türkeren_US
dc.format.extentxv, 118 leaves, ill, tablesen_US
dc.identifier.urihttp://hdl.handle.net/11693/14535
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStereoscopic visualizationen_US
dc.subjectslice-wise representationen_US
dc.subjectoctreeen_US
dc.subjectocclusion cullingen_US
dc.subjectoccluder shrinkingen_US
dc.subjectsubdivisionen_US
dc.subjectMinkowski differenceen_US
dc.subjectfromregion visibilityen_US
dc.subjectfromregion visibilityen_US
dc.subjecturban visualizationen_US
dc.subjectvisibility processingen_US
dc.subject.lccT385 .Y55 2007en_US
dc.subject.lcshComputer graphics.en_US
dc.subject.lcshVisualization.en_US
dc.titleVisualization of urban environmentsen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0003314.pdf
Size:
13.59 MB
Format:
Adobe Portable Document Format
Download

Collections

Dept. of Computer Engineering - Ph.D. / Sc.D.