Abstract The goal of Facial Kinship Verification (FKV) is to automatically determine whether
two individuals have a kin relationship or not from their given facial images or videos. It is an …

Kinship verification aims to infer whether there is a kin relation between different individuals
from facial images. However, popular kinship datasets are often small and suffer from data …

Kinship verification refers to comparing similarities between two different individuals through
their facial images. In this context, feature descriptors play a crucial role, and few feature …

Kinship verification from faces aims to determine whether two person share some family
relationship based only on the visual facial patterns. This has attracted a significant interests …

Kinship verification using facial images is mainly performed with a single face sample per
person. To perform with a single sample, it is very difficult to specify an age group where kin …

Nowadays, kinship verification is an attractive research area within computer vision. It
significantly affects applications in the real world, such as finding missing individuals and …

Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research
area in the last few years. It aims to identify persons across different non-overlapping …

Facial recognition technology is widely used for biometric authentication, but it struggles with
accurately identifying individuals from low-resolution images. This study introduces a new …

Kinship verification is a process that two or more people has a family relation such as father
and son or other family relation. Numerous studies have been presented to investigate the …

Tiivistelmä Ihmiskasvot osoittavat implisiittisesti perhesidonnaisuuden, mikä osoittaa
biologisesti sukua olevien ihmisten koettua kasvojen samankaltaisuutta. Psykologiset …