Open AccessAutomatic Face Shape Classification Via Facial Landmark Measurements
Author(s) -
Alexandru Ion Marinescu
Publication year - 2021
Publication title -
studia universitatis babeş-bolyai. informatica
Language(s) - English
Resource type - Journals
eISSN - 2065-9601
pISSN - 1224-869X
DOI - 10.24193/subbi.2021.2.05
Subject(s) - landmark , computer science , artificial intelligence , face (sociological concept) , computer vision , classifier (uml) , facial recognition system , pattern recognition (psychology) , identification (biology) , face detection , naive bayes classifier , machine learning , support vector machine , social science , botany , sociology , biology
This paper tackles the sensitive subject of face shape identification via near neutral-pose 2D images of human subjects. The possibility of extending to 3D facial models is also proposed, and would alleviate the need for the neutral stance. Accurate face shape classification serves as a vital building block of any hairstyle and eye-wear recommender system. Our approach is based on extracting relevant facial landmark measurements and passing them through a naive Bayes classifier unit in order to yield the final decision. The literature on this subject is particularly scarce owing to the very subjective nature of human face shape classification. We wish to contribute a robust and automatic system that performs this task and highlight future development directions on this matter.