article · 2016

A local feature descriptor based on Local Binary Patterns

Cited by 1Abstract and details only

Abstract

This paper presents a local feature descriptor based on Local Binary Patterns (LBP). This descriptor uses binary bit string to represent the local region of images and the integral image to mean filter that makes descriptor building faster. Compared to Scale-invariant feature transform (SIFT)that the calculation is large and the process is time consuming in the description of the characteristics, the descriptor based on LBP speeds about 1 orders of magnitude. In the matching effect for blurred image, illumination changes, and different JPEG compression ratio, the matching results are better than descriptors based on SIFT.

Cite this paper

APA 7

Cheng, G. P., & Chen, J. (2016). A local feature descriptor based on Local Binary Patterns. https://doi.org/10.1109/cisp-bmei.2016.7852717

MLA 9

Cheng, G. P., and Jiaxing Chen. “A local feature descriptor based on Local Binary Patterns.” vol. 290, 2016, pp. 251–58, https://doi.org/10.1109/cisp-bmei.2016.7852717.

Chicago

Cheng, G. P., and Jiaxing Chen. 2016. “A local feature descriptor based on Local Binary Patterns.” https://doi.org/10.1109/cisp-bmei.2016.7852717.

Harvard

Cheng, G.P. and Chen, J. (2016) ‘A local feature descriptor based on Local Binary Patterns’. Available at: https://doi.org/10.1109/cisp-bmei.2016.7852717.

BibTeX

@article{cheng2016local,
  title = {{A local feature descriptor based on Local Binary Patterns}},
  author = {Cheng, G. P. and Chen, Jiaxing},
  volume = {290},
  pages = {251--258},
  year = {2016},
  doi = {10.1109/cisp-bmei.2016.7852717}
}

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