@inproceedings{a84d07c4c7f247a98033269198c21704,
title = "Locality-preserving complex-valued Gaussian process latent variable model for robust face recognition",
abstract = "Learning a low-dimensional image representation yields effective and efficient face recognition. The use of such a representation helps to weaken the curse of dimensionality. However, the traditional facial representation method is not robust against partial occlusions or variations of expression. To solve this problem, this paper proposes a more reliable, complex-valued representation of facial image. The robust representation is based on the proposed locality-preserving complex-valued Gaussian process latent variable model (LP-CGPLVM). In the LP-CGPLVM, the Euler formula is utilized to transform original facial images into the complex domain. A proper complex GP is employed to model the mapping between the complex-valued high-dimensional data and the corresponding low-dimensional representation. Moreover, the locality-preserving constraint is taken into consideration to preserve the neighborhood data structure. The experimental results indicate that our proposed method is robust against partial occlusions and various facial expressions.",
keywords = "Complex-valued representation, Gaussian process latent variable model, Occlusion, Robust face recognition",
author = "Chen, {Sih Huei} and Lee, {Yuan Shan} and Hsu, {Yu Sheng} and Wu, {Chung Hsien} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 ; Conference date: 15-04-2018 Through 20-04-2018",
year = "2018",
month = sep,
day = "10",
doi = "10.1109/ICASSP.2018.8462680",
language = "???core.languages.en_GB???",
isbn = "9781538646588",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2696--2700",
booktitle = "2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings",
}