Heterogeneous Face Recognition from Facial Sketches

Authors

  • Ivan Gruber University of West Bohemia, Faculty of Applied Sciences, Department of Cybernetics

DOI:

https://doi.org/10.31449/inf.v45i3.3313

Abstract

This paper presents a short summary of a dissertation thesis. The thesis presents a novel approach named X-Bridge for image-to-sketch translation for automatic heterogeneous face recognition. X-Bridge is based on a conditional adversarial network with an additional reconstruction path and a shared-latent space assumption between the original and the reconstruction path. With these modications, the results provided by X-Bridge overcome other state-of-the-art methods.

References

I. Gruber, "Heterogeneous face recognition

from facial sketches," 2019.

I. J. Goodfellow and al., "Generative adversarial nets," in Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2, ser. NIPS'14. Cambridge, MA, USA: MIT Press, 2014, pp. 2672-2680.

W. Zhang, X. Wang, and X. Tang, "Coupled information-theoretic encoding for face photosketch recognition," in Proceedings of IEEE

Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

P. Isola, J. Zhu, T. Zhou, and A. A. Efros, "Image-to-image translation with conditional adversarial networks," CoRR, vol. abs/1611.07004, 2016.

X. Huang, M. Liu, S. J. Belongie, and J. Kautz, "Multimodal unsupervised image-to-image translation," CoRR, vol. abs/1804.04732, 2018.

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Published

2021-09-15

How to Cite

Gruber, I. (2021). Heterogeneous Face Recognition from Facial Sketches. Informatica, 45(3). https://doi.org/10.31449/inf.v45i3.3313

Issue

Vol. 45 No. 3 (2021)

Section

Thesis summary

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