Robotics Institute: Quantitative Evaluation on Near Regular Texture Synthesis

Quantitative Evaluation on Near Regular Texture Synthesis

Wen-Chieh Lin, James H. Hays, Chenyu Wu, V. Kwatra, and Yanxi Liu
Computer Vision and Pattern Recognition Conference (CVPR '06), June, 2006, pp. 427 - 434.

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Abstract

Near regular textures are pervasive in man-made and natural world. Their global regularity and local randomness pose new difficulties to the state of the art texture analysis and synthesis algorithms. We carry out a systematic comparison study on the performance of four texture synthesis algorithms on near-regular textures. Our results confirm that faithful near-regular texture synthesis remains a challenging problem for the state of the art general purpose texture synthesis algorithms. In addition, we provide comparison of human perception with computer evaluations on the quality of the texture synthesis results.

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: 8

Text Reference

Wen-Chieh Lin, James H. Hays, Chenyu Wu, V. Kwatra, and Yanxi Liu, "Quantitative Evaluation on Near Regular Texture Synthesis," Computer Vision and Pattern Recognition Conference (CVPR '06), June, 2006, pp. 427 - 434.

BibTeX Reference

@inproceedings{Lin_2006_5364,
   author = "Wen-Chieh Lin and James H. Hays and Chenyu Wu and V. Kwatra and Yanxi Liu",
   title = "Quantitative Evaluation on Near Regular Texture Synthesis",
   booktitle = "Computer Vision and Pattern Recognition Conference (CVPR '06)",
   pages = "427 - 434",
   month = "June",
   year = "2006",
   volume = "1",
}

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