Title :
Leveraging appearance and geometry for kinship verification
Author :
Xiaolong Wang ; Kambhamettu, Chandra
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Delaware, Newark, DE, USA
Abstract :
Kinship verification has become a very active topic recently. Many kinship verification algorithms have been proposed, however, many problems still need to be solved, such as how to locate familial traits of two individuals with kinship and how to make use of facial geometry information to verify kinship relation. To solve these problems, we propose one feature matching scheme to locate familial traits between two facial images. We also advocate a method using geometry information for kinship verification. This approach achieves more than 17% improvement compared with the state of the art. In addition, preliminary results show that the proposed problems can be accurately addressed when fusing appearance and geometry feature.
Keywords :
face recognition; image matching; facial geometry information; familial traits; feature matching scheme; kinship verification; Face; Face recognition; Feature extraction; Geometry; Manifolds; Shape; Vectors; Kinship verification; fusion; machine learning;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026016