Facial kinship verification: A comprehensive review and outlook
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 …
two individuals have a kin relationship or not from their given facial images or videos. It is an …
A literature survey on kinship verification through facial images
X Qin, D Liu, D Wang - Neurocomputing, 2020 - Elsevier
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 …
there is a kin relation between given identities through their facial images. Applications of …
High-order knowledge-based discriminant features for kinship verification
This research work aims to propose an effective and robust face kinship verification system
by leveraging several axes, including advanced learning techniques, deep learning, and …
by leveraging several axes, including advanced learning techniques, deep learning, and …
Sharable and individual multi-view metric learning
This paper presents a sharable and individual multi-view metric learning (MvML) approach
for visual recognition. Unlike conventional metric leaning methods which learn a distance …
for visual recognition. Unlike conventional metric leaning methods which learn a distance …
Prototype-based discriminative feature learning for kinship verification
In this paper, we propose a new prototype-based discriminative feature learning (PDFL)
method for kinship verification. Unlike most previous kinship verification methods which …
method for kinship verification. Unlike most previous kinship verification methods which …
Visual kinship recognition of families in the wild
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 …
with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a …
Tri-subject kinship verification: Understanding the core of a family
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 …
and to investigate the bi-(one-versus-one) or tri-(one-versus-two) relationship among …
Target detection based on random forest metric learning
Target detection is aimed at detecting and identifying target pixels based on specific spectral
signatures, and is of great interest in hyperspectral image (HSI) processing. Target detection …
signatures, and is of great interest in hyperspectral image (HSI) processing. Target detection …
Embedding metric learning into an extreme learning machine for scene recognition
C Wang, G Peng, B De Baets - Expert Systems with Applications, 2022 - Elsevier
Metric learning can be very useful to improve the performance of a distance-dependent
classifier. However, separating metric learning from the classifier learning possibly …
classifier. However, separating metric learning from the classifier learning possibly …
Sequential fusion of facial appearance and dynamics for depression recognition
In mental health assessment, it is validated that nonverbal cues like facial expressions can
be indicative of depressive disorders. Recently, the multimodal fusion of facial appearance …
be indicative of depressive disorders. Recently, the multimodal fusion of facial appearance …