article · Global Journal of Computer Sciences Theory and Research · 2015
Using local binary patterns for object detection in images
Karel Petránek, Pavel Janečka, Jan Vaněk
Cited by 0Open access
Abstract
The article discusses a texture operator called Local Binary Patterns (LBP) and its applications in image processing and object detection. We provide a description of the algorithm for computing LBP together with a rationale for using LBP as a feature for object detection and image recognition. Based on the algorithm we show that LBP features have a low computational overhead compared to more complicated image features such as the commonly used SIFT or SURF features or neural network based approaches because they exploit the use of extremely fast bitwise and integer operations of the CPU. We demonstrate that LBP is robust to changes in brightness, contrast, image rotation, image scale. We develop two enhancements for LBP that improve its resistance to camera noise and enhance the discriminative power of LBP when it is used as a feature for machine learning algorithms. We present the results on a challenging real-world object detection task. Keywords: computer vision, object detection, local binary patterns.
Cite this paper
Petránek, K., Janečka, P., & Vaněk, J. (2015). Using local binary patterns for object detection in images. Global Journal of Computer Sciences Theory and Research, 5(1), 07–12. https://doi.org/10.18844/gjcs.v5i1.24
Petránek, Karel, et al. “Using local binary patterns for object detection in images.” Global Journal of Computer Sciences Theory and Research, vol. 5, no. 1, 2015, pp. 07–12, https://doi.org/10.18844/gjcs.v5i1.24.
Petránek, Karel, Pavel Janečka, and Jan Vaněk. 2015. “Using local binary patterns for object detection in images.” Global Journal of Computer Sciences Theory and Research 5 (1): 07–12. https://doi.org/10.18844/gjcs.v5i1.24.
Petránek, K., Janečka, P. and Vaněk, J. (2015) ‘Using local binary patterns for object detection in images’, Global Journal of Computer Sciences Theory and Research, 5(1), pp. 07–12. Available at: https://doi.org/10.18844/gjcs.v5i1.24.
@article{petranek2015using,
title = {{Using local binary patterns for object detection in images}},
author = {Petránek, Karel and Janečka, Pavel and Vaněk, Jan},
journal = {Global Journal of Computer Sciences Theory and Research},
volume = {5},
number = {1},
pages = {07--12},
year = {2015},
doi = {10.18844/gjcs.v5i1.24}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.