Quantitative Evaluation of Near Regular Texture Synthesis Algorithms

Wen-Chieh Lin, James Hays, Chenyu Wu, Vivek Kwatra and Yanxi Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), NYC, USA. June 2006, pp. 427-434.

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.

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