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

• Main Authors: Diana Borza, Adrian Sergiu Darabant, Radu Danescu
• Format: Article
• Language: English
• Published: MDPI AG 2013-10-01
• Series: Sensors
• Subjects: eyeglasses detection; Fourier descriptors; Monte Carlo methods
• Online Access: http://www.mdpi.com/1424-8220/13/10/13638

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.