Title | ||
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Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. |
Abstract | ||
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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 |
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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 Yoshinuma | 1 | 1 | 0.35 |
Hideitsu Hino | 2 | 99 | 25.73 |
Kazuhiro Fukui | 3 | 828 | 71.55 |