Abstract

We propose a new, challenging, problem in kinship classification: recognizing the family that a query person belongs to from a set of families. We propose a novel framework for recognizing kinship by modeling this problem as that of reconstructing the query face from a mixture of parts from a set of families. To accomplish this, we reconstruct the query face from a sparse set of samples from among the candidate families. Our sparse group reconstruction roughly models the biological process of inheritance: a child inherits genetic material from two parents, and therefore may not appear completely similar to either parent, but is instead a composite of the parents. The family classification is determined based on the reconstruction error for each family. On our newly collected ''Family101" dataset, we discover links between familial traits among family members and achieve state-of-the-art family classification performance.

Downloads

• Family 101 Dataset


• Slides

BibTeX

@inproceedings{fang2013kinship,
  title={Kinship Classification by Modeling Facial Feature Heredity},
  author={Fang, Ruogu and Andrew C. Gallagher and Alexander Loui and Chen, Tsuhan},
  booktitle={Image Processing (ICIP), 2013 20th IEEE International Conference on},
  year={2013},
  organization={IEEE}
}

@inproceedings{fang2010towards,
  title={Towards computational models of kinship verification},
  author={Fang, Ruogu and Tang, Kevin D and Snavely, Noah and Chen, Tsuhan},
  booktitle={Image Processing (ICIP), 2010 17th IEEE International Conference on},
  pages={1577--1580},
  year={2010},
  organization={IEEE}
}

Publications on Kinship Recognition

Ruogu Fang, Andrew C. Gallagher, Tsuhan Chen, Alexander Loui. Kinship Classification by Modeling Facial Feature Heredity. The 20th International Conference on Image Processing, 2013.

Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen: Towards Computational Models of Kinship Verification. IEEE International Conference on Image Processing, Hong Kong, September 2010. Best Paper Award

Part-based Model

Database Specifications

Experimental Results