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http://dx.doi.org/10.9717/kmms.2021.24.8.1020

Facial Landmark Detection by Stacked Hourglass Network with Transposed Convolutional Layer  

Gu, Jungsu (Department of Digital Media, Graduate School, The Catholic University of Korea)
Kang, Ho Chul (Department of Media Technology and Media Contents, The Catholic University of Korea)
Publication Information
Journal of Korea Multimedia Society / v.24, no.8, 2021 , pp. 1020-1025 More about this Journal
Abstract
Facial alignment is very important task for human life. And facial landmark detection is one of the instrumental methods in face alignment. We introduce the stacked hourglass networks with transposed convolutional layers for facial landmark detection. our method substitutes nearest neighbor upsampling for transposed convolutional layer. Our method returns better accuracy in facial landmark detection compared to stacked hourglass networks with nearest neighbor upsampling.
Keywords
Facial Landmark Detection; Face Alignment; Stacked Hourglass Network; Transposed Convolutional Layer; Computer Vision; CNN; Heatmap Based Detection; Bodypart detection;
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