The promise and perils of near-regular texture

Yanxi Liu, Yanghai Tsin, Wen Chieh Lin

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


Motivated by the low structural fidelity for near-regular textures in current texture synthesis algorithms, we propose and implement an alternative texture synthesis method for near-regular texture. We view such textures as statistical departures from regular patterns and argue that a thorough understanding of their structures in terms of their translation symmetries can enhance existing methods of texture synthesis. We demonstrate the perils of texture synthesis for near-regular texture and the promise of faithfully preserving the regularity as well as the randomness in a near-regular texture sample.

Original languageEnglish (US)
Pages (from-to)145-159
Number of pages15
JournalInternational Journal of Computer Vision
Issue number1-2
StatePublished - Apr 2005

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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