Extended local binary patterns for texture classification

By Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, Paul W. Fieguth. Image and Vision Computing, 2012

339 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f39ddc9ff9680fa485700730888e1c11a3674ae0

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

1. Xiaogang Wang
2. Luc Van Gool
3. Qi Tian
4. Dacheng Tao
5. Yi Yang
6. Ming-Hsuan Yang
7. Bernt Schiele
8. Mathieu Salzmann

Citations in the corpus

• Bregman Divergences for Infinite Dimensional Covariance Matrices (2014, background): “1% for our SH-SVM, which, to the best of our knowledge, is state-of-the-art on this dataset [16].”
• Pixel Difference Networks for Efficient Edge Detection (2021, methodology): “Here, we utilize the ideas from the work in [42, 30, 52], where the local binary pattern (LBP) and its robust variants, extended LBP (ELBP), were used to encode pixel relations from varying directions (angular and radial).”
• Median Robust Extended Local Binary Pattern for Texture Classification (2016, methodology): “LNIRP is similar to the descriptor AD-LBP presented in [10], but is based on second-order derivatives in the circular direction.”