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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bay, H., Tuytelaars, T., Gool, L.J.V.: SURF: Speeded up robust features. In: Proc. European Conference on Computer Vision, vol. 1, pp. 404–417 (2006)
Belongie, S.J., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Mach. Intell. 24(4), 509–522 (2002)
Carneiro, G., Jepson, A.D.: Multi-scale phase-based local features. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, p. 736 (2003)
Heikkilä, M., Pietikäinen, M., Schmid, C.: Description of interest regions with local binary patterns. Pattern Recognit. 42(3), 425–436 (2009)
Lazebnik, S., Schmid, C., Ponce, J.: A sparse texture representation using local affine regions. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1265–1278 (2005)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 91–110 (2004)
Mikolajczyk, K., Schmid, C.: Indexing based on scale invariant interest points. In: Proc. International Conference on Computer Vision, vol. 1, pp. 525–531 (2001)
Mikolajczyk, K., Schmid, C.: An affine invariant interest point detector. In: Proc. European Conference on Computer Vision, pp. 128–142 (2002)
Mikolajczyk, K., Schmid, C.: Scale and affine invariant interest point detectors. Int. J. Comput. Vis. 60(1), 63–86 (2004)
Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 27(10), 1615–1630 (2005)
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Gool, L.V.: A comparison of affine region detectors. Int. J. Comput. Vis. 65(1/2), 43–72 (2005)
Pierre, M., Pietro, P.: Evaluation of features detectors and descriptors based on 3D objects. Int. J. Comput. Vis. 73(3), 263–284 (2007)
Se, S., Lowe, D., Little, J.: Global localization using distinctive visual features. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 1, pp. 226–231 (2002)
Tuytelaars, T., Van Gool, L.J.: Matching widely separated views based on affine invariant regions. Int. J. Comput. Vis. 59(1), 61–85 (2004)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
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
Download citation
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
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)