Strabismus Classification Using Face Features

Strabismus is one of the most common vision diseases that would cause amblyopia and even permanent vision loss. Timely diagnosis is crucial for well treating strabismus. In contrast to manual diagnosis, automatic recognition can significantly reduce labor cost and increase diagnosis efficiency. This...

Full description

Saved in:
Bibliographic Details
Published in2019 International Symposium on Multimedia and Communication Technology (ISMAC) pp. 1 - 4
Main Authors Jung, Su-Min, Umirzakova, Sabina, Whangbo, Taeg-Keun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Active appearance model
classification
Eyebrows
Face
face features
face symmetry
Feature extraction
Mouth
Shape
strabismus
Support vector machines
Online AccessGet full text

Cover

More Information
Summary:Strabismus is one of the most common vision diseases that would cause amblyopia and even permanent vision loss. Timely diagnosis is crucial for well treating strabismus. In contrast to manual diagnosis, automatic recognition can significantly reduce labor cost and increase diagnosis efficiency. This paper present a completely automatic strabismus detection system using face features. It is based on automatically analyze the degree of left and right symmetry of the patient face measurements. To achieve that was created a special model, using Active appearance model (AAM) algorithm that detected face landmarks that were used for calculation strabismus features slope differences.
DOI:10.1109/ISMAC.2019.8836174