I Know That Person: Generative Full Body and Face De-identification of People in Images (CROSBI ID 651412)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Brkić, Karla ; Sikirić, Ivan ; Hrkać, Tomislav ; Kalafatić, Zoran
engleski
I Know That Person: Generative Full Body and Face De-identification of People in Images
We propose a model for full body and face de- identification of humans in images. Given a segmentation of the human figure, our model generates a synthetic human image with an alternative appearance that looks natural and fits the segmentation outline. The model is usable with various levels of segmentation, from simple human figure blobs to complex garment-level segmentations. The level of detail in the de-identified output depends on the level of detail in the input segmentation. The model de-identifies not only primary biometric identifiers (e.g. the face), but also soft and non-biometric identifiers including clothing, hairstyle, etc. Quantitative and perceptual experiments indicate that our model produces de-identified outputs that thwart human and machine recognition, while preserving data utility and naturalness.
computer vision, de-identification
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Podaci o prilogu
1319-1328.
2017.
objavljeno
Podaci o matičnoj publikaciji
Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on
Institute of Electrical and Electronics Engineers (IEEE)
2160-7516
Podaci o skupu
The First International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV- COPS 2017)
poster
21.07.2017-21.07.2017
Honolulu (HI), Sjedinjene Američke Države