Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Panzi Zhao"'
Publikováno v:
AIP Advances, Vol 13, Iss 8, Pp 085310-085310-13 (2023)
3D face recognition (FR) has become increasingly widespread due to the illumination invariance and pose robustness of 3D face data. Most existing 3D FR methods can only achieve excellent performance on complete and smooth faces. However, low-quality
Externí odkaz:
https://doaj.org/article/c2df36aacb5f45769d14bdcfc87bbfc3
Publikováno v:
IEEE Transactions on Human-Machine Systems. 53:239-252
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ff2658749f16e6d2164c285a294f65
https://doi.org/10.1109/thms.2022.3199777
https://doi.org/10.1109/thms.2022.3199777
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31:1050-1062
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::723838918cadba08cf06942dfd95ee73
https://doi.org/10.1109/taslp.2023.3245407
https://doi.org/10.1109/taslp.2023.3245407
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030606329
PRCV (1)
PRCV (1)
Monocular depth estimation methods based on deep learning have shown very promising results recently, most of which exploit deep convolutional neural networks (CNNs) with scene geometric constraints. However, the depth maps estimated by most existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc8817d609a9b02b4a4583cb61fd4ec5
https://doi.org/10.1007/978-3-030-60633-6_29
https://doi.org/10.1007/978-3-030-60633-6_29
