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JBE, vol. 24, no. 4, pp.564-572, July, 2019
Integral Regression Network for Facial Landmark Detection
Do Yeop Kim and Ju Yong Chang
C.A E-mail: email@example.com
With the development of deep learning, the performance of facial landmark detection methods has been greatly improved. The heat map regression method, which is a representative facial landmark detection method, is widely used as an efficient and robust method. However, the landmark coordinates cannot be directly obtained through a single network, and the accuracy is reduced in determining the landmark coordinates from the heat map. To solve these problems, we propose to combine integral regression with the existing heat map regression method. Through experiments using various datasets, we show that the proposed integral regression network significantly improves the performance of facial landmark detection.
Keyword: Face Alignment, Facial Landmark Detection, Deep Learning
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