Wasserstein CNN Learning Invariant Features for NIR-VIS Face Recognition

Wasserstein CNN : Learning Invariant Features for NIR-VIS Face Recognition

Heterogeneous face recognition (HFR) aims at matching facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial sectors. However, HFR presents more challenging issues than traditional face recognition because of the large intra-...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 7 vom: 03. Juli, Seite 1761-1773
1. Verfasser: He, Ran (VerfasserIn)
Weitere Verfasser: Wu, Xiang, Sun, Zhenan, Tan, Tieniu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
Online verfügbar Volltext