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RI | Publications | Quantitative Evaluation on Near Regular Texture Synthesis
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Quantitative Evaluation on Near Regular Texture Synthesis
W. Lin, J.H. Hays, C. Wu, V. Kwatra, and Y. Liu
Computer Vision and Pattern Recognition Conference (CVPR '06), Vol. 1, 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: VASC
Associated lab/group: Computational Symmetry
Associated project: Texture Synthesis on Near-regular Patterns
Number of pages: 8
| Text Reference |
W. Lin, J.H. Hays, C. Wu, V. Kwatra, and Y. Liu, "Quantitative Evaluation on Near Regular Texture Synthesis," Computer Vision and Pattern Recognition Conference (CVPR '06), Vol. 1, 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)",
month = "June",
year = "2006",
volume = "1",
pages = "427 - 434"
}