Open AccessFacial Landmark Detection Experiment
Author(s) -
Yanzhe Su
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/4/042033
Subject(s) - landmark , computer science , artificial intelligence , face (sociological concept) , computer vision , pattern recognition (psychology) , sociology , social science
Facial landmark detection or face alignment is an important problem in computer vision. Different types of methods have been proposed to target this problem, with their advantages and disadvan- tages. This paper classified the past methods into three categories, briefly compared them, then attempted to reimplementing part of a recent work. Experiments were done with a common, current dataset to compare the method with other methods.