Distinguishable de-identified faces
| Title | Distinguishable de-identified faces |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Sun, Z., Meng, L., Ariyaeeinia, A. |
| Conference Name | 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) |
| Date Published | may |
| Keywords | Active appearance model, Brightness, Clustering algorithms, data protection, distinguishable de-identified faces, face recognition, Facial features, k-anonymity approach, k-same de-identified video, privacy, privacy protection, pubcrawl170113, Testing |
| Abstract | The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces every k original faces to share the same de-identified face, making it impossible to track individuals in a k-Same de-identified video. To address this issue, this paper presents an approach to the creation of distinguishable de-identified faces. This new approach can serve privacy protection perfectly whilst producing de-identified faces that are as distinguishable as their original faces. |
| URL | http://ieeexplore.ieee.org/document/7285019/ |
| DOI | 10.1109/FG.2015.7285019 |
| Citation Key | sun_distinguishable_2015 |