Name
Abstract | ||
|---|---|---|
•A novel method for selecting the ROI for remote photoplethysmography algorithms is proposed.•Skin tissues are implicitly selected via their distinct pulsatility feature.•A new publicly available dataset for rPPG algorithms evaluation is introduced. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2017.10.017 | Pattern Recognition Letters |
Keywords | Field | DocType |
Image processing,Remote photoplethysmography,Unsupervised,Living skin tissue segmentation | Computer vision,Pattern recognition,Computer science,Photoplethysmogram,Segmentation,Image processing,Supervised learning,Pixel,Artificial intelligence,Face detection,Merge (version control) | Journal |
Volume | ISSN | Citations |
124 | 0167-8655 | 11 |
PageRank | References | Authors |
0.92 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serge Bobbia | 1 | 11 | 1.59 |
| Richard Macwan | 2 | 16 | 5.11 |
| Yannick Benezeth | 3 | 399 | 26.11 |
| Alamin Mansouri | 4 | 137 | 22.29 |
| Julien Dubois | 5 | 146 | 18.76 |