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

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

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)
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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 (CC BY 3.0).

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

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