Title
Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface.
Abstract
This paper proposes a personal authentication method based on the 3D configuration of micro-feature points such as moles and freckles, plus common feature points such as corners of eyes, edges of mouth and nostrils. The basic idea behind the proposed method is the assumption that such 3D configuration can be uniquely determined by individuals. To compare two configurations of feature points effectively, the concept of 3D shape subspace in a high-dimensional vector space is introduced. With this idea, the task of comparing the sets of feature points is converted to that of measuring the structural similarity between the corresponding shape subspaces. The validity of the proposed method is demonstrated through experiments with feature points from actual face images. In addition, the performance limit of the method is explored using sets of artificially generated feature points.
Year
DOI
Venue
2015
10.1007/978-3-319-29451-3_35
PSIVT
Keywords
Field
DocType
Personal authentication, Facial feature, Shape subspace, Grassmann discriminant analysis
Computer vision,Vector space,Authentication,Pattern recognition,Subspace topology,Feature (computer vision),Computer science,Linear subspace,Artificial intelligence,Performance limit
Conference
Volume
ISSN
Citations 
9431
0302-9743
1
PageRank 
References 
Authors
0.35
9
3
Name
Order
Citations
PageRank
Takao Yoshinuma110.35
Hideitsu Hino29925.73
Kazuhiro Fukui382871.55