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Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description
Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului, Cluj Napoca 400114, Romania
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; in revised form: 12 September 2013 / Accepted: 8 October 2013 / Published: 10 October 2013
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.
Borza D, Darabant AS, Danescu R. Eyeglasses Lens Contour Extraction from Facial Images Using an Efficient Shape Description. Sensors. 2013; 13(10):13638-13658.
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.