dc.contributor.advisor | Akleman, Ergun | |
dc.creator | Penney, Jonathan | |
dc.date.accessioned | 2010-07-15T00:12:06Z | |
dc.date.accessioned | 2010-07-23T21:43:39Z | |
dc.date.available | 2010-07-15T00:12:06Z | |
dc.date.available | 2010-07-23T21:43:39Z | |
dc.date.created | 2009-05 | |
dc.date.issued | 2010-07-14 | |
dc.date.submitted | May 2009 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2009-05-470 | |
dc.description.abstract | For photographers to capture good pictures of their subjects, the lighting conditions must be taken into account and adjusted for accordingly. The same holds true
for a satellite attempting to photograph another object in space: it must know the
lighting conditions to adjust camera settings and position itself properly to take the
best photograph. This thesis presents a photon mapping based algorithm to compute
a physically accurate representation of the illumination of objects in orbit around the
Earth, taking into account the effects that cause refraction in the atmosphere. I also
discuss the assumptions that I have made to utilize the algorithm in an interactive
3D visualization tool, which I implemented to view the illumination on objects at
arbitrary positions in space. Finally, I show that the photon mapping method offers
improvements over simpler methods of computing illumination. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.subject | photon mapping | en |
dc.subject | ray tracing | en |
dc.subject | final gathering | en |
dc.subject | earth | en |
dc.subject | sun | en |
dc.subject | atmospheric rendering | en |
dc.subject | rendering the atmosphere | en |
dc.subject | illumination | en |
dc.subject | atmospheric refraction | en |
dc.subject | atmospheric phenomena | en |
dc.subject | phase integral | en |
dc.title | A Photon Mapping Based Approach to Computing Celestial Illumination | en |
dc.type | Book | en |
dc.type | Thesis | en |
thesis.degree.department | Visualization | en |
thesis.degree.discipline | Visualization Sciences | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Srinivasan, Vinod | |
dc.contributor.committeeMember | Mortari, Daniele | |
dc.type.genre | Electronic Thesis | en |
dc.type.material | text | en |