Skip to Main content Skip to Navigation
Conference papers

Optimized Tile-Based Texture Synthesis

Weiming Dong 1 Ning Zhou 2 Jean-Claude Paul 2
1 ALICE - Geometry and Lighting
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 CAD - Computer Aided Design
LIAMA - Laboratoire Franco-Chinois d'Informatique, d'Automatique et de Mathématiques Appliquées, Inria Paris-Rocquencourt
Abstract : One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that the sample patches employed as primary patterns of the tile set may not be well stitched if carelessly picked. In this paper, we introduce an optimized approach that can stably generate an !-tile set of high pattern diversity and high quality. Firstly, an extendable rule is introduced to increase the number of sample patches to vary the patterns in an ω-tile set. Secondly, in contrast to the other concurrent techniques that randomly choose sample patches for tile construction, our technique uses Genetic Algorithm to select the feasible patches from the input example. This operation insures the quality of the whole tile set. Experimental results verify the high quality and efficiency of the proposed algorithm.
Document type :
Conference papers
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download

https://hal.inria.fr/inria-00152370
Contributor : Weiming Dong <>
Submitted on : Wednesday, June 6, 2007 - 4:14:43 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Friday, September 21, 2012 - 4:15:45 PM

File

Optimized_Tile-Based_Texture_S...
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00152370, version 1
  • PRODINRA : 246358

Collections

Citation

Weiming Dong, Ning Zhou, Jean-Claude Paul. Optimized Tile-Based Texture Synthesis. Proceedings of the Graphics Interface 2007, May 2007, Montreal, Canada. pp.249-256. ⟨inria-00152370⟩

Share

Metrics

Record views

459

Files downloads

1121