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oai:www.ideals.illinois.edu:2142/81829 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Hart, John C. Hoberock, Jared 2015-09-25T20:20:36Z 2015-09-25T20:20:36Z 10000-01-01 2008 2008 This dissertation investigates novel methods of accelerating the central computations of physically-based light transport algorithms. We present novel mappings of the crucial primitive operations of ray tracing and shading to data parallel architectures and introduce intelligent importance sampling strategies which adapt themselves to image content in an unbiased manner. We demonstrate that these techniques offer substantial improvement over the prior art and offer sufficient generality to be deployed in many path tracing-based light transport algorithms. Made available in DSpace on 2015-09-25T20:20:36Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337791.pdf: 1752625 bytes, checksum: 61f06dc1238a07aeda4f2e494632c772 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 83110 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 95 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81829 (MiAaPQ)AAI3337791 eng Computer Science Accelerating Physically-Based Light Transport Algorithms text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.