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AestheticNet: deep convolutional neural network for person identification from visual aesthetic.
- Source :
-
Visual Computer . Oct2020, Vol. 36 Issue 10-12, p2395-2405. 11p. - Publication Year :
- 2020
-
Abstract
- A person's visual aesthetics is an emerging behavioral biometric. Visual aesthetics can be defined as a person's principles pertaining to their sense of beauty or fondness. Utilizing a person's preference to certain images as discriminatory features forms the basis of person identification from visual aesthetics. This paper proposes a novel three-stage framework based on the convolutional neural network, AestheticNet, for the extraction of high-level features and identification of individuals from visual aesthetics. The rank-1 accuracy of 97.73% and rank-5 accuracy of 99.85% are achieved on the publicly available benchmark dataset, which outperforms all state-of-the-art methods. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CONVOLUTIONAL neural networks
*AESTHETICS
*IDENTIFICATION
Subjects
Details
- Language :
- English
- ISSN :
- 01782789
- Volume :
- 36
- Issue :
- 10-12
- Database :
- Academic Search Index
- Journal :
- Visual Computer
- Publication Type :
- Academic Journal
- Accession number :
- 146150623
- Full Text :
- https://doi.org/10.1007/s00371-020-01893-7