Name
Abstract | ||
|---|---|---|
The basic features extracted by the basic LBP operator are not complete. It only analyzes the symbolic values of local differences. How to improve the features extracted by the LBP operator and how to effectively express the information that the basic LBP operator fails to express to achieve a better recognition rate has not yet been solved. By selecting FP-tree, the grey value of the image is frequently analyzed, and then the feature of LBP is used to extract features, so as to obtain a more comprehensive local feature of the extracted facial image.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3316551.3318235 | Proceedings of the 2019 3rd International Conference on Digital Signal Processing |
Keywords | DocType | ISBN |
FP-Growth algorithm, Face recognition, Local binary mode | Conference | 978-1-4503-6204-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sijie Long | 1 | 1 | 0.70 |
| Chengfeng Zheng | 2 | 1 | 0.70 |
| Canliu Wu | 3 | 0 | 0.34 |
| Tianyi Qi | 4 | 0 | 0.34 |
| Xiaojie Li | 5 | 0 | 0.34 |
| Yongsheng Zhu | 6 | 10 | 4.72 |
| Jingyi Liu | 7 | 0 | 0.34 |
| Jinwei Li | 8 | 0 | 0.34 |
| Shuai Jia | 9 | 26 | 5.14 |
| Zefeng Xie | 10 | 1 | 1.04 |
| Zhongyuan Chen | 11 | 0 | 0.34 |
| Hang Du | 12 | 1 | 0.70 |