Abstract
Texture-by-Numbers is an attractive texture synthesis framework, because it is able to cope with non-homogeneous texture exemplars, and provides the user with intuitive creative control over the outcome of the synthesis process. Like many other exemplar-based texture synthesis methods, its basic underlying mechanism is neighbourhood matching. In this paper we review a number of commonly used neighbourhood matching acceleration techniques, compare and analyse their performance in the specific context of Texture-by-Numbers (as opposed to ordinary unconstrained texture synthesis). Our study indicates that the standard approaches are not optimally suited for the Texture-by-Numbers framework, often producing visually inferior results compared to searching for the exact L2nearest neighbour. We then show that performing Texture-by-Number using the Texture Optimization framework in conjunction with an efficient FFT-based search is able to produce good results in reasonable running times and with a minimal memory overhead.
Original language | American English |
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Pages (from-to) | 127-138 |
Number of pages | 12 |
Journal | Computer Graphics Forum |
Volume | 30 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2011 |
Keywords
- energy minimization
- example-based rendering
- image analogies
- texture optimization
- texture synthesis
- texture-by-numbers