Robotics Institute: A Comparison Study of Four Texture Synthesis Algorithms on Regular and Near-regular Textures

A Comparison Study of Four Texture Synthesis Algorithms on Regular and Near-regular Textures

Wen-Chieh Lin, James H. Hays, Chenyu Wu, Vivek Kwatra, and Yanxi Liu
tech. report CMU-RI-TR-04-01, Robotics Institute, Carnegie Mellon University, January, 2004

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Abstract

We compare the performance of four texture synthesis algorithms on synthesizing regular and near-regular textures in this report. Our results show that the near-regular texture synthesis remains to be a challenging problem. This is because a near-regular texture demonstrates both global regularity and local randomness in its texture pattern. It is difficult to preserve both properties in the synthetic textures. The comparison indicates that a specially-designed texture synthesis algorithm that respects the nature of near-regular textures can produce more faithfully synthesized textures than general purpose state of the art synthesis algorithms.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Computational Symmetry

Associated Project(s): Near Regular Texture -- Analysis, Synthesis and Manipulation

Number of pages: 55

Text Reference

Wen-Chieh Lin, James H. Hays, Chenyu Wu, Vivek Kwatra, and Yanxi Liu, "A Comparison Study of Four Texture Synthesis Algorithms on Regular and Near-regular Textures," tech. report CMU-RI-TR-04-01, Robotics Institute, Carnegie Mellon University, January, 2004

BibTeX Reference

@techreport{Lin_2004_4585,
   author = "Wen-Chieh Lin and James H. Hays and Chenyu Wu and Vivek Kwatra and Yanxi Liu",
   title = "A Comparison Study of Four Texture Synthesis Algorithms on Regular and Near-regular Textures",
   institution = "Robotics Institute",
   month = "January",
   year = "2004",
   number= "CMU-RI-TR-04-01",
   address= "Pittsburgh, PA",
}

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