Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Eyeglasses frame selection based on oval face shape using convolutional neural network

Young, S, Natalia, F, Sudirman, S and Ko, CS (2019) Eyeglasses frame selection based on oval face shape using convolutional neural network. ICIC Express Letters, Part B: Applications, 10 (8). pp. 707-715. ISSN 2185-2766

[img]
Preview
Text
Eyeglasses frame selection based on oval face shape using convolutional neural network.pdf - Published Version

Download (539kB) | Preview

Abstract

Deep Learning is one part of the Machine Learning which is now widely discussed by researchers. One use of Deep Learning is on the case of image classification. One method that can be used is Convolutional Neural Network. In this case, by using Convolutional Neural Network, it will identify a person’s face shape is oval or not. This method will be implemented into Android OS and using Python Language to help in processing the data that retrieve and observe from search engine Google. Viola-Jones Algorithm is useful to analyze the existence of the faces in the image processing. The output that will be accomplished is an application that can give user a choice of frames of glasses based on face shapes. Through this application user can try a variety of frames with practice rather than having to try it in physical form one by one. © 2019, ICIC International. All rights reserved.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: ICIC International
Date Deposited: 30 Sep 2019 10:05
Last Modified: 30 Sep 2019 10:05
DOI or Identification number: 10.24507/icicelb.10.08.707
URI: http://researchonline.ljmu.ac.uk/id/eprint/11400

Actions (login required)

View Item View Item