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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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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