Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Chengtang Yao"'
Publikováno v:
IEEE Transactions on Information Forensics and Security. 15:3683-3693
Face recognition and verification systems are susceptible to spoofing attacks using photographs, videos or masks. Most existing methods focus on spoofing detection in Euclidean space, and ignore the features’ manifold structure and interrelationshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3fd674fe17ac137acced881dedb192
https://doi.org/10.1109/tifs.2020.2998956
https://doi.org/10.1109/tifs.2020.2998956
Publikováno v:
Image and Vision Computing. 89:88-94
Face recognition and verification systems are vulnerable to video spoofing attacks. In this paper, we present a diffusion-based kernel matrix model for face liveness detection. We use the anisotropic diffusion to enhance the edges of each frame in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a706e8fd9a374176fdf3a6af0d29e284
https://doi.org/10.1016/j.imavis.2019.06.009
https://doi.org/10.1016/j.imavis.2019.06.009
Publikováno v:
CVPR
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases. In order to reduce the huge cost of stereo matching at the original
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b7c2c058feb519f44e1dd03b45a843
