Abstract
Detection and description of interest regions is of great interest in many applications of computer vision. This chapter introduces a method for interest region description using center-symmetric local binary patterns (CS-LBP). The CS-LBP descriptor combines the advantages of the well-known SIFT descriptor and the LBP operator. It performed better than SIFT in image matching experiments especially for image pairs having illumination variations and about equally well in image categorization experiments.
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© 2011 Springer-Verlag London Limited
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Pietikäinen, M., Hadid, A., Zhao, G., Ahonen, T. (2011). Description of Interest Regions. 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_5
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DOI: https://doi.org/10.1007/978-0-85729-748-8_5
Publisher Name: Springer, London
Print ISBN: 978-0-85729-747-1
Online ISBN: 978-0-85729-748-8
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