Ghahramani, M., Yau, WY. & Teoh, E.K. Family verification based on similarity of individual family member’s facial segments. Machine Vision and Applications 25, 919–930 (2014). https://doi.org/10.1007/s00138-013-0566-1
Abstract:
Humans process faces to recognize family resemblance
and act accordingly. Undoubtedly, they are capable
of recognizing their kin and family members. In this paper,
we study the facts and valid assumptions of facial resemblance
in family members’ facial segments. Our analysis
and psychological studies show that the facial resemblance
differs from member to member and depends on image
segments. First, we estimate the degree of resemblance of
each member’s image segment. Then, we propose a novel
method to fuse similarity of each member’s facial image
segments to perform family verification. Employing the proposed
approach on the collected 5,400-sample family database
achieves considerable improvement compared to the
state-of-the-art fusion rule in three designated test scenarios.
Experimental results also show that the proposed approach
could estimate the similarity slightly more accurate than
human perception. We believe the public availableness of
the database may advance the development in this domain.
License type:
PublisherCopyrights
Funding Info:
This research is supported by core funding from: Institute for Infocomm Research
Grant Reference no. :
Description:
This is a post-peer-review, pre-copy edit version of an article published in Machine Vision and Applications. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00138-013-0566-1.