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Applications in Image Retrieval and 3D Recognition

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Computer Vision Using Local Binary Patterns

Part of the book series: Computational Imaging and Vision ((CIVI,volume 40))

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Abstract

This chapter considers two applications of LBP in spatial domain: Content-based image retrieval and recognition of 3D textured surfaces. Color and texture features are commonly used in retrieval, but usually they have been applied on full images. In the first part of this chapter two block based methods based on LBPs are presented which can significantly increase the retrieval performance. The second part describes a method for recognizing 3D textured surfaces using multiple LBP histograms as object models. Excellent results are obtained in view-based classification of the widely used CUReT texture database. The method performed also well in the pixel-based classification of natural scene images.

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References

  1. Bülthoff, H.H., Wallraven, C., Graf, A.: View-based dynamic object recognition based on human perception. In: Proc. International Conference on Pattern Recognition, pp. 768–776 (2002)

    Google Scholar 

  2. Castano, R., Manduchi, R., Fox, J.: Classification experiments on real-world texture. In: Proc. Workshop on Empirical Evaluation Methods in Computer Vision, pp. 3–20 (2001)

    Google Scholar 

  3. Corel Corporation (2005). http://www.corel.com/

  4. Cula, O.G., Dana, K.J.: Compact representation of bidirectional texture functions. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1041–1047 (2001)

    Google Scholar 

  5. Cula, O.G., Dana, K.J.: Recognition methods for 3D texture surfaces. In: Proc. SPIE Conference on Human Vision and Electronic Imaging, pp. 209–220 (2001)

    Chapter  Google Scholar 

  6. Dana, K.J., van Ginneken, B., Nayar, S.K., Koenderink, J.J.: Reflectance and texture of real-world surfaces. ACM Trans. Graph. 18(1), 1–34 (1999)

    Article  Google Scholar 

  7. Grangier, D., Bengio, S.: A discriminative kernel-based approach to rank images from text queries. IEEE Trans. Pattern Anal. Mach. Intell. 30(8), 1371–1384 (2008)

    Article  Google Scholar 

  8. Huang, J., Kumar, S.R., Mitra, M., Zhu, W.J., Zabih, R.: Image indexing using color correlograms. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 762–768 (1997)

    Chapter  Google Scholar 

  9. Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vis. 43(1), 29–44 (2001)

    Article  MATH  Google Scholar 

  10. Malik, J., Belongie, S.J., Leung, T., Shi, J.B.: Contour and texture analysis for image segmentation. Int. J. Comput. Vis. 43(1), 7–27 (2001)

    Article  MATH  Google Scholar 

  11. Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell. 18, 837–842 (1996)

    Article  Google Scholar 

  12. Manjunath, B.S., Ohm, J.R., Vinod, V.V., Yamada, A.: Color and texture descriptors. IEEE Trans. Circuits Syst. Video Technol. 11(6), 703–715 (2001). Special Issue on MPEG-7

    Article  Google Scholar 

  13. Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recognit. 29(1), 51–59 (1996)

    Article  Google Scholar 

  14. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971–987 (2002)

    Article  Google Scholar 

  15. Ojala, T., Mäenpää, T., Pietikäinen, M., Viertola, J., Kyllönen, J., Huovinen, S.: Outex—New framework for empirical evaluation of texture analysis algorithms. In: Proc. International Conference on Pattern Recognition, pp. 701–706 (2002)

    Google Scholar 

  16. Park, D.K., Jeon, Y.S., Won, C.S.: Efficient use of local edge histogram descriptor. In: Proc. ACM Workshop on Standards, Interoperability and Practices, pp. 51–54 (2000)

    Google Scholar 

  17. Park, S.J., Park, D.K.W.C.: Core experiments on MPEG-7 edge histogram descriptor. Technical report, ISO/IEC JTC1/SC29/WG11-MPEG2000/M5984 (2000)

    Google Scholar 

  18. Pietikäinen, M., Nurmela, T., Mäenpää, T., Turtinen, M.: View-based recognition of real-world textures. Pattern Recognit. 37(2), 313–323 (2004)

    Article  MATH  Google Scholar 

  19. Puzicha, J., Buhmann, J.M., Rubner, Y., Tomasi, C.: Empirical evaluation of dissimilarity measures for color and texture. In: Proc. International Conference on Computer Vision, vol. 2, p. 1165 (1999)

    Chapter  Google Scholar 

  20. Sim, D.G., Kim, H.K., Oh, D.I.: Translation, scale, and rotation invariant texture descriptor for texture-based image retrieval. In: Proc. International Conference on Image Processing, vol. 3, pp. 742–745 (2000)

    Google Scholar 

  21. Stricker, M., Orengo, M.: Similarity of color images. In: Storage and Retrieval of Image and Video Databases III, vol. 2, pp. 381–392 (1995)

    Chapter  Google Scholar 

  22. Swain, M., Ballard, D.: Color indexing. In: Proc. International Conference on Computer Vision, pp. 11–32 (1990)

    Google Scholar 

  23. Takala, V.: Local Binary Pattern Method in Context-based Image Retrieval. M.Sc. thesis, Department of Electrical and Information Engineering, University of Oulu (2004) (In Finnish)

    Google Scholar 

  24. Takala, V., Ahonen, T., Pietikäinen, M.: Block-based methods for image retrieval using local binary patterns. In: Scandinavian Conference on Image Analysis. Lecture Notes in Computer Science, vol. 3540, pp. 882–891. Springer, Berlin (2005)

    Chapter  Google Scholar 

  25. Tamura, H., Mori, T., Yamawaki, T.: Textural features corresponding to visual perception. IEEE Trans. Syst. Man Cybern. 8, 460–473 (1978)

    Article  Google Scholar 

  26. Turtinen, M., Pietikäinen, M.: Contextual analysis of textured scene images. In: Proc. British Machine Vision Conference, pp. 849–858 (2006)

    Google Scholar 

  27. Varma, M., Zisserman, A.: Classifying images of materials: Achieving viewpoint and illumination independence. In: European Conference on Computer Vision. Lecture Notes in Computer Science, vol. 2352, pp. 255–271. Springer, Berlin (2002)

    Google Scholar 

  28. Varma, M., Zisserman, A.: Classifying materials from images: To cluster or not to cluster? In: Proc. International Workshop on Texture Analysis and Synthesis, pp. 139–144 (2002)

    Google Scholar 

  29. Yao, C.H., Chen, S.Y.: Retrieval of translated, rotated and scaled color textures. Pattern Recognit. 36(4), 913–929 (2003)

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Machine Vision Group, Department of Computer Science and Engineering, University of Oulu, PO Box 4500, 90014, Oulu, Finland

    Matti Pietikäinen, Abdenour Hadid & Guoying Zhao

  2. Nokia Research Center, Palo Alto, CA, USA

    Timo Ahonen

Authors
  1. Matti Pietikäinen
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  2. Abdenour Hadid
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  3. Guoying Zhao
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  4. Timo Ahonen
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Corresponding author

Correspondence to Matti Pietikäinen .

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Pietikäinen, M., Hadid, A., Zhao, G., Ahonen, T. (2011). Applications in Image Retrieval and 3D Recognition. In: Computer Vision Using Local Binary Patterns. Computational Imaging and Vision, vol 40. Springer, London. https://doi.org/10.1007/978-0-85729-748-8_6

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