Facial Landmark Detection Using Generative Adversarial Network Combined with Autoencoder for Occlusion
Joint Authors
Liu, Hongzhe
Zuo, Min
Liu, Teng
Zheng, Weicheng
Xu, Cheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The performance of the facial landmark detection model will be in trouble when it is under occlusion condition.
In this paper, we present an effective framework with the objective of addressing the occlusion problem for facial landmark detection, which includes a generative adversarial network with improved autoencoders (GAN-IAs) and deep regression networks.
In this model, GAN-IA can restore the occluded face region by utilizing skip concatenation among feature maps to keep more details.
Meanwhile, self-attention mechanism that is effective in modeling long-range dependencies is employed to recover harmonious images for occluded faces.
Deep regression networks are used to learn a nonlinear mapping from facial appearance to facial shape.
Benefited from the mutual cooperation of GAN-IA and deep regression networks, a robust facial landmark detection model is achieved for the occlusion problem and the performance of the model achieves obviously improvement on challenging datasets.
American Psychological Association (APA)
Liu, Hongzhe& Zheng, Weicheng& Xu, Cheng& Liu, Teng& Zuo, Min. 2020. Facial Landmark Detection Using Generative Adversarial Network Combined with Autoencoder for Occlusion. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1195270
Modern Language Association (MLA)
Liu, Hongzhe…[et al.]. Facial Landmark Detection Using Generative Adversarial Network Combined with Autoencoder for Occlusion. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1195270
American Medical Association (AMA)
Liu, Hongzhe& Zheng, Weicheng& Xu, Cheng& Liu, Teng& Zuo, Min. Facial Landmark Detection Using Generative Adversarial Network Combined with Autoencoder for Occlusion. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1195270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195270