Sensors 2013, 13(10), 13638-13658; doi:10.3390/s131013638
Article

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

1email, 2email and 1,* email
Received: 24 July 2013; in revised form: 12 September 2013 / Accepted: 8 October 2013 / Published: 10 October 2013
(This article belongs to the Section Physical Sensors)
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.
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
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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.

AMA Style

Borza D, Darabant AS, Danescu R. Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description. Sensors. 2013; 13(10):13638-13658.

Chicago/Turabian Style

Borza, Diana; Darabant, Adrian S.; Danescu, Radu. 2013. "Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description." Sensors 13, no. 10: 13638-13658.

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