Next Article in Journal
Microelectrode Arrays with Overlapped Diffusion Layers as Electroanalytical Detectors: Theory and Basic Applications
Previous Article in Journal
Aptamers as Theranostic Agents: Modifications, Serum Stability and Functionalisation
Sensors 2013, 13(10), 13638-13658; doi:10.3390/s131013638
Article

Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description

1
,
2
 and
1,*
1 Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului, Cluj Napoca 400114, Romania 2 Computer Science Department, Babes Bolyai University, 58-60 Teodor Mihali, C333, Cluj Napoca 400591, Romania
* Author to whom correspondence should be addressed.
Received: 24 July 2013 / Revised: 12 September 2013 / Accepted: 8 October 2013 / Published: 10 October 2013
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [7316 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

This paper presents a system that automatically extracts the position of the eyeglasses and the accurate shape and size of the frame lenses in facial images. The novelty brought by this paper consists in three key contributions. The first one is an original model for representing the shape of the eyeglasses lens, using Fourier descriptors. The second one is a method for generating the search space starting from a finite, relatively small number of representative lens shapes based on Fourier morphing. Finally, we propose an accurate lens contour extraction algorithm using a multi-stage Monte Carlo sampling technique. Multiple experiments demonstrate the effectiveness of our approach.
Keywords: eyeglasses detection; Fourier descriptors; Monte Carlo methods eyeglasses detection; Fourier descriptors; Monte Carlo methods
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Borza, D.; Darabant, A.S.; Danescu, R. Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description. Sensors 2013, 13, 13638-13658.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert