Median Robust Extended Local Binary Pattern for Texture Classification
By Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen. IEEE Transactions on Image Processing, 2016
421 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8745ea801fa96a20352b1657e66caec2723938cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Li Liu
- Paul W. Fieguth
- Anne Humeau-Heurtier
- Matti Pietikäinen
- Guoying Zhao
- Ramalingam Chellappa
- Xiaogang Wang
- Jie Chen
Citations in the corpus
- Texture Feature Extraction Methods: A Survey (2019, positive): “Furthermore, other variants have been developed to improve the discriminative power of the method [85]–[87], including multiscale approaches [88], [89].”
- From BoW to CNN: Two Decades of Texture Representation for Texture Classification (2018, background): “3% on Outex TC10 and Outex TC12 respectively, which are significantly worse than the near perfect performance of MRELBP on these two datasets [132]; a clear indicator that DCNN based features require large amount of training samples and that they lack local invariance.”