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- W2785433232 abstract "Nowadays, the task of preservation of personal data present in public audio-visual records becomes more important. This paper describes an image processing method for de-identification of visual personal data based on a facial image. There are many primitive methods with high robustness but image quality of de-identified data is usually very poor. The advantages of this proposed method include especially very good results in quality preservation of the original image data and the possibility of a partial image reconstruction from de-identified data. The main objective has been achieved by using Active Appearance Model algorithm tested on a created database with the overall success rate of automatic recognition tool around 0.8 %. The de-identified image data look also authentic and it is possible to determine the expression or gender of the de-identified person." @default.
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- W2785433232 date "2017-11-01" @default.
- W2785433232 modified "2023-09-25" @default.
- W2785433232 title "Facial image de-identification using active appearance model" @default.
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- W2785433232 doi "https://doi.org/10.1109/icetcct.2017.8280304" @default.
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