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 …

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 …

Automatic kinship verification has attracted increasing attentions as it holds promise to an
abundance of applications. However, existing kinship verification methods suffer from the …

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 …

Given a pair of facial images, it is an interesting yet challenging problem to determine if there
is a kin relation between them. Recent research on that topic has made encouraging …

In this work, we propose a deep learning-based approach for kin verification using a unified
multi-task learning scheme where all kinship classes are jointly learned. This allows us to …

In this survey, kinship verification is defined as the automatic process of verifying whether
two or more persons are blood relatives (kin) by analyzing images of their faces. Kinship …

Identifying kinship relations has garnered interest due to several applications such as
organizing and tagging the enormous amount of videos being uploaded on the Internet …

Kinship verification from facial images in the wild is a promising research aiming to identify
whether a facial image pair shares kinship relation by analyzing face structures. This paper …