Name
Title | ||
|---|---|---|
Use of invisible noise signals to prevent privacy invasion through face recognition from camera images |
Abstract | ||
|---|---|---|
A method is proposed for preventing privacy invasion through unintentional capture of facial images. Prevention methods such as covering the face and painting particular patterns on the face are effective but hinder face-to-face communication. The proposed method overcomes this problem through the use of a device worn on the face that transmits near-infrared signals that are picked up by camera image sensors, which makes the face in captured images undetectable. The device is similar in appearance to a pair of eyeglasses, and the signals cannot be seen by the human eye, so face-to-face communication is not hindered. Testing of a prototype "privacy visor" showed that it can effectively prevent privacy invasion via face detection by corrupting the facial images. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2393347.2396460 | ACM Multimedia 2001 |
Keywords | Field | DocType |
face detection,prevention method,images undetectable,face recognition,privacy visor,privacy invasion,camera image sensor,human eye,face-to-face communication,invisible noise signal,facial image | Human eye,Computer vision,Facial recognition system,Computer science,Visor,Artificial intelligence,Face detection,Camera image | Conference |
Citations | PageRank | References |
11 | 0.87 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takayuki Yamada | 1 | 26 | 4.54 |
| Seiichi Gohshi | 2 | 71 | 18.16 |
| Isao Echizen | 3 | 299 | 68.82 |