  Kinship recognition is a challenging problem with many practical
applications. With much progress and milestones having been reached after ten
years - we are now able to survey the research and create new milestones. We
review the public resources and data challenges that enabled and inspired many
to hone-in on the views of automatic kinship recognition in the visual domain.
The different tasks are described in technical terms and syntax consistent
across the problem domain and the practical value of each discussed and
measured. State-of-the-art methods for visual kinship recognition problems,
whether to discriminate between or generate from, are examined. As part of
such, we review systems proposed as part of a recent data challenge held in
conjunction with the 2020 IEEE Conference on Automatic Face and Gesture
Recognition. We establish a stronghold for the state of progress for the
different problems in a consistent manner. This survey will serve as the
central resource for the work of the next decade to build upon. For the tenth
anniversary, the demo code is provided for the various kin-based tasks.
Detecting relatives with visual recognition and classifying the relationship is
an area with high potential for impact in research and practice.IEEE
Transactions on pattern analysis and machine intelligence
