Abstract | ||
---|---|---|
This study presents a novel approach that extends face de-identification from person-specific (closed) sets of facial images to open sets of video frames. Inspired by the previous work in facial expression transfer, the authors have introduced an `identity shift' to ensure identity consistency within a de-identified video sequence. The `identity shift' is derived from the first video frame of a pe... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1049/iet-spr.2016.0761 | IET Signal Processing |
Keywords | Field | DocType |
emotion recognition,face recognition,image sequences | Facial recognition system,Mathematical optimization,Image processing,Information privacy,Multimedia,Mathematics,Creative commons,License | Journal |
Volume | Issue | ISSN |
11 | 9 | 1751-9675 |
Citations | PageRank | References |
3 | 0.42 | 19 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Meng | 1 | 27 | 3.48 |
Zongji Sun | 2 | 17 | 1.77 |
Odette Tejada Collado | 3 | 3 | 0.42 |