Date of Award
2008
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
Natural matte extraction is a difficult and generally unsolved problem. Generating a matte from a nonuniform background traditionally requires a tediously hand drawn matte. This thesis studies recent methods requiring the user to place only modest scribbles identifying the foreground and the background. This research demonstrates a new GPU-based implementation of the recently introduced Fuzzy- Matte algorithm. Interactive matte extraction was achieved on a CUDA enabled G80 graphics processor. Experimental results demonstrate improved performance over the previous CPU based version. In depth analysis of experimental data from the GPU and the CPU implementations are provided. The design challenges of porting a variant of Dijkstra's shortest distance algorithm to a parallel processor are considered.
Extent
x, 74 p. : ill. (some col.).
Recommended Citation
Gibson, Joel, "Fuzzycuda" (2008). Electronic Theses and Dissertations 2000 - 2009. 1479.
https://digitalcommons.fau.edu/etd_general_5/1479
Identifier
FADT186288
Comments
by Joel Gibson.|Thesis (M.S.C.S.)--Florida Atlantic University, 2008.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2008. Mode of access: World Wide Web.|by Joel Gibson.