View-dependent precomputed light transport using non-linear Gaussian function approximations
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2007
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| Online Access: | http://hdl.handle.net/1721.1/35605 |
| _version_ | 1811082860188139520 |
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| author | Green, Paul Elijah |
| author2 | Frédo Durand. |
| author_facet | Frédo Durand. Green, Paul Elijah |
| author_sort | Green, Paul Elijah |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006. |
| first_indexed | 2024-09-23T12:10:40Z |
| format | Thesis |
| id | mit-1721.1/35605 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:10:40Z |
| publishDate | 2007 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/356052019-04-11T13:32:30Z View-dependent precomputed light transport using non-linear Gaussian function approximations Green, Paul Elijah Frédo Durand. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006. Includes bibliographical references (p. 43-46). We propose a real-time method for rendering rigid objects with complex view-dependent effects under distant all-frequency lighting. Existing precomputed light transport approaches can render rich global illumination effects, but high-frequency view-dependent effects such as sharp highlights remain a challenge. We introduce a new representation of the light transport operator based on sums of Gaussians. The non-linear parameters of the representation allow for 1) arbitrary bandwidth because scale is encoded as a direct parameter; and 2) high-quality interpolation across view and mesh triangles because we interpolate the average direction of the incoming light, thereby preventing linear cross-fading artifacts. However, fitting the precomputed light transport data to this new representation requires solving a non-linear regression problem that is more involved than traditional linear and non-linear (truncation) approximation techniques. We present a new data fitting method based on optimization that includes energy terms aimed at enforcing good interpolation. We demonstrate that our method achieves high visual quality for a small storage cost and fast rendering time. by Paul Elijah Green. S.M. 2007-01-10T16:47:03Z 2007-01-10T16:47:03Z 2005 2006 Thesis http://hdl.handle.net/1721.1/35605 75282373 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 46 p. 2110289 bytes 2228407 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Green, Paul Elijah View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title | View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title_full | View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title_fullStr | View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title_full_unstemmed | View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title_short | View-dependent precomputed light transport using non-linear Gaussian function approximations |
| title_sort | view dependent precomputed light transport using non linear gaussian function approximations |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/35605 |
| work_keys_str_mv | AT greenpaulelijah viewdependentprecomputedlighttransportusingnonlineargaussianfunctionapproximations |