Name
Abstract | ||
|---|---|---|
This paper proposes a novel facial landmark detection (FLD) algorithm for use in real driving situations. The proposed algorithm is based on an ensemble of local weighted random forest regressor (WRFR) with random sampling consensus (RANSAC) and explicit global shape models, and considers the dynamic and irregular characteristics of driving. In this paper, to estimate the offset distance from a la... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSVT.2017.2769096 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Shape,Face,Cameras,Vehicles,Monitoring | Small number,Spatial relation,Computer vision,Pattern recognition,RANSAC,Computer science,Outlier,Sampling (statistics),Artificial intelligence,Random forest,Landmark,Offset (computer science) | Journal |
Volume | Issue | ISSN |
28 | 10 | 1051-8215 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mira Jeong | 1 | 19 | 1.88 |
| ByoungChul Ko | 2 | 241 | 23.28 |
| Sooyeong Kwak | 3 | 39 | 5.65 |
| Jae-Yeal Nam | 4 | 123 | 13.19 |