Quantitative Evaluation of Near Regular Texture Synthesis Algorithms

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2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)

New York, NY

June 17-June 22

ISBN: 0-7695-2597-0

	ASCII Text	x
	Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, Vivek Kwatra, "Quantitative Evaluation of Near Regular Texture Synthesis Algorithms," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 427-434, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006.

	BibTex	x
	@article{ 10.1109/CVPR.2006.233, author = {Wen-Chieh Lin and James Hays and Chenyu Wu and Yanxi Liu and Vivek Kwatra}, title = {Quantitative Evaluation of Near Regular Texture Synthesis Algorithms}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {1}, year = {2006}, issn = {1063-6919}, pages = {427-434}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.233}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Quantitative Evaluation of Near Regular Texture Synthesis Algorithms SN - 1063-6919 SP427 EP434 A1 - Wen-Chieh Lin, A1 - James Hays, A1 - Chenyu Wu, A1 - Yanxi Liu, A1 - Vivek Kwatra, PY - 2006 KW - null VL - 1 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Wen-Chieh Lin, National Chiao-Tung University

James Hays, Carnegie Mellon University

Chenyu Wu, Carnegie Mellon University

Yanxi Liu, Carnegie Mellon University

Vivek Kwatra, University of North Carolina at Chapel Hill

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.233

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.

Citation:

Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, Vivek Kwatra, "Quantitative Evaluation of Near Regular Texture Synthesis Algorithms," cvpr, vol. 1, pp.427-434, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006

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