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 is an emerging task in computer vision which aims at finding out whether
there is a kin relation between given identities through their facial images. Applications of …

One major challenge in computer vision is to go beyond the modeling of individual objects
and to investigate the bi-(one-versus-one) or tri-(one-versus-two) relationship among …

We present the largest database for visual kinship recognition, Families In the Wild (FIW),
with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a …

Kinship verification from facial images is an interesting and challenging problem. The
current algorithms on this topic typically represent faces with multiple low-level features …

Recent advances in kinship verification have shown that learning an appropriate kinship
similarity metric on human faces plays a critical role in this problem. However, most of …

Metric learning has attracted wide attention in face and kinship verification, and a number of
such algorithms have been presented over the past few years. However, most existing …

Kinship verification is a very important technique in many real-world applications, eg,
personal album organization, missing person investigation and forensic analysis. However …

Kinship recognition is a prominent research aiming to find if kinship relation exists between
two different individuals. In general, child closely resembles his/her parents more than …

With our Families In the Wild (FIW) dataset, which consists of labels 1, 000 families in over
12, 000 family photos, we benchmarked the largest kinship verification experiment to date …