Abstract
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.
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Liu, Y., Tsin, Y. & Lin, WC. The Promise and Perils of Near-Regular Texture. Int J Comput Vision 62, 145–159 (2005). https://doi.org/10.1023/B:VISI.0000046593.03875.01
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DOI: https://doi.org/10.1023/B:VISI.0000046593.03875.01