Two decades of local binary patterns: A survey
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by
Matti Pietikäinen, Guoying Zhao
2017
Abstract
Texture is an important characteristic for many types of images. In recent
years very discriminative and computationally efficient local texture
descriptors based on local binary patterns (LBP) have been developed, which has
led to significant progress in applying texture methods to different problems
and applications. Due to this progress, the division between texture
descriptors and more generic image or video descriptors has been disappearing.
A large number of different variants of LBP have been developed to improve its
robustness, and to increase its discriminative power and applicability to
different types of problems. In this chapter, the most recent and important
variants of LBP in 2D, spatiotemporal, 3D, and 4D domains are surveyed.
Interesting new developments of LBP in 1D signal analysis are also considered.
Finally, some future challenges for research are presented.
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