Abstract
Traditional texture synthesis methods usually emphasized the final effect of the target textures. However, none of them focus on auto-extraction of the source texture exemplar. In this paper, we present a novel textureness metric based on Gist descriptor to accurately extract texture exemplar from an arbitrary image including texture regions. Our method emphasizes the importance of the exemplar for the example-based texture synthesis and focus on ideal texture exemplar auto-extraction. To improve the efficiency of the texture patch searching, we perform a Poisson disk sampling to crop exemplar randomly and uniformly from images. To improve the accuracy of texture recognition, we also use a SVM for the UIUC database to distinguish the texture regions and non-texture regions. The proposed method is evaluated on a variety of images with different kinds of textures. Convincing visual and statistics results demonstrated its effectiveness.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Galerne, B., Gousseau, Y., Morel, J.M.: Random phase textures: theory and synthesis. IEEE Trans. Image Process. 20(1), 257–267 (2011)
Dai, D., Riemenschneider, H., Schmitt, G., et al.: Example-based facade texture synthesis. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1065–1072 (2013)
He, K., Sun, J.: Statistics of patch offsets for image completion. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, pp. 16–29. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33709-3_2
Dai, D., Riemenschneider, H., Gool, L.V.: The synthesizability of texture examples. In: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, pp. 3027–3034 (2014)
Peachey, D.R.: Solid texturing of complex surfaces. In: ACM SIGGRAPH Computer Graphics, vol. 19(3), pp. 279–286. ACM (1985)
Gardner, G.Y.: Visual simulation of clouds. In: ACM SIGGRAPH Computer Graphics, vol. 19(3), pp. 297–304 (1985)
Fleischer, K.W., Laidlaw, D.H., Currin, B.L.: Cellular texture generation. In: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 239–248 (1995)
Efros, A.A., Leung, T.K.: Texture synthesis by non-parametric sampling. In: Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1033–1038. IEEE (1999)
Wei, L.Y., Levoy, M.: Fast texture synthesis using tree-structured vector quantization. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 479–488. ACM Press/Addison-Wesley Publishing Co. (2000)
Ashikhmin, M.: Synthesizing natural textures. In: Proceedings of the 2001 Symposium on Interactive 3D Graphics, pp. 217–226 (2001)
Liang, L., Liu, C., Xu, Y.Q.: Real-time texture synthesis by patch-based sampling. ACM Trans. Graph. (ToG) 20(3), 127–150 (2001)
Julesz, B.: Textons, the elements of texture perception, and their interactions. Nature 290(5802), 91–97 (1981)
Lefebvre, S., Hoppe, H.: Parallel controllable texture synthesis. ACM Trans. Graph. (TOG) 24(3), 777–786 (2005)
Ashikhmin, M.: Synthesizing natural textures. In: Proceedings of the ACM Symposium on Interactive 3D Graphics, pp. 217–226 (2001)
Lazebnik, S., Schmid, C., Ponce, J.: A sparse texture representation using local affine regions. PAMI 27(8), 1265–1278 (2005)
Bridson, R.: Fast Poisson disk sampling in arbitrary dimensions. In: ACM SIGGRAPH Sketches, p. 22 (2007)
Acknowledgments
This work was supported in part by grants from the National Natural Science Foundation of China (Nos. 61303101, 61572328), the Shenzhen Research Foundation for Basic Research, China (Nos. JCYJ20150324140036846, JCYJ20170302153551588, CXZZ20140902160818443, CXZZ20140902102350474, CXZZ20150813151056544, JCYJ20150630105452814, JCYJ20160331114551175, JCYJ20160608173051207), the Start-up Research Fund of Shenzhen University (Nos. 2013-827-000009), the China-UK Visual Information Processing Laboratory (VIPL) and Maternal and child health monitoring and early warning Engineering Technology Research Center (METRC) of Guangdong Province.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Wu, H., Jiang, J., Li, P., Wen, Z. (2018). Automatic Texture Exemplar Extraction Based on a Novel Textureness Metric. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10736. Springer, Cham. https://doi.org/10.1007/978-3-319-77383-4_78
Download citation
DOI: https://doi.org/10.1007/978-3-319-77383-4_78
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77382-7
Online ISBN: 978-3-319-77383-4
eBook Packages: Computer ScienceComputer Science (R0)