RFIW 2017: LPQ-SIEDA for large scale kinship verification

Oualid Laiadi (1) , Abdelhamid Benakcha , Abdelmalik Ouamane , Abdelmalik Taleb-Ahmed (2)

1 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
2 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

As a part of the RFIW 2017 Data Challenge Workshop, we demonstrate performance on the large-scale FIW dataset, along with several pre-existing image collections. Noticing available version of SIEDA method work well on smaller datasets (i.e. Cornell and UB KinFace datasets) than on FIW, we propose modifications to address this disparity in results.

Mots clés: FIW dataset; Large-scale

Domaines: Sciences de l'ingénieur [physics]

Oualid Laiadi, Abdelhamid Benakcha, Abdelmalik Ouamane, Abdelmalik Taleb-Ahmed. RFIW 2017: LPQ-SIEDA for large scale kinship verification. Workshop on Recognizing Families In the Wild, RFIW 2017, Oct 2017, Mountain View, CA, United States. pp.37-39, ⟨10.1145/3134421.3134426⟩. ⟨hal-03665847⟩