ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Facial Landmark Localization Robust on the Eyes with Position Regression Network
Cited 4 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Chanwoong Kwak, Jaeyoon Jang, Hosub Yoon
Issue Date
2020-06
Citation
International Conference on Ubiquitous Robots (UR) 2020, pp.130-133
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/UR49135.2020.9144702
Abstract
Facial landmark localization is essential for robot-human interaction. In particular, the human eye is more important because it can grasp a person's interests. However, the traditional method does not consider eye changes from the dataset, so the limitation is clear, this paper presents a data augmentation method for acquiring various eye images and a method for creating a robust eye landmark model with 2-stage training. Experiments on augmented 300W-LP datasets show that our method outperforms performance than the previous method.
KSP Keywords
Augmentation method, Data Augmentation, Facial landmark localization, Human eye, Traditional methods, robot and human interaction