Accurate and real-time lip contour extraction based on constrained contour growing

Ying Yang, Xiangdong Wang, Yueliang Qian, Shouxun Lin
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引用次数: 5

Abstract

In this paper, a novel method for accurate and real-time lip contour extraction in gray-level images is presented. The main idea is to grow the contour from some key points based on constraints of parabola fitting and gradient maximum which are combined using D-S theory. This approach can accurately extract continuous lip contour by simultaneously taking color and shape information into consideration, and achieve real-time performance using less computation without iteration and modeling, which can provide high efficiency to meet the need of real-time application. Furthermore, this method is applied in a real-time lipreading system using visual features constructed from lip contour information extracted by the proposed method. Experimental results show that both the lip contour extraction and lipreading system achieved good performance, which demonstrates the effectiveness and efficiency of the proposed method.
基于约束轮廓生长的精确实时唇形提取
本文提出了一种实时、准确提取灰度图像唇形轮廓的新方法。其主要思想是利用D-S理论结合抛物线拟合约束和梯度极大约束,从一些关键点开始生长轮廓。该方法能够同时考虑颜色和形状信息,准确提取连续唇形轮廓,且无需迭代和建模,以较少的计算量实现实时性,能够提供较高的效率,满足实时应用的需要。并将该方法应用于实时唇读系统中,利用该方法提取的唇轮廓信息构建视觉特征。实验结果表明,唇形提取和唇形读取系统均取得了良好的性能,验证了所提方法的有效性和高效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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