利用相关性度量最小化三维唇部模型中的顶点

S. S. Salleh
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引用次数: 0

摘要

本文介绍了在视觉语音合成系统中开发三维嘴唇的工作。在类似的领域已经做了一些工作,但是在嘴唇模型中识别和确定适当数量的顶点的系统方法没有得到充分的解释。代替开发技术,本文还提出了一个实验装置,旨在测试嘴唇在变形语音中的能力和灵活性。本文解释了捕捉嘴唇的过程,以及在标准马来语中用于识别最佳顶点数量以变形粘体的相关测量技术。本工作的结果证明,通过将24,000个顶点保留0.005%到120个顶点的系统退化将保持唇形变形的相似质量。因此,本研究的结果证明了适当数量的顶点适合用于三维嘴唇模型的视觉语音合成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimizing Vertices in 3D Lips Model Using Relevance Measure
This paper presents works involved in developing a three-dimensional lips in a visual speech synthesis system. Several works have been done in similar areas, but a systematic approach of identifying and determining appropriate number of vertices in the lips model were not explained thoroughly. Instead of the development technique, this paper is also presents an experimental set up designed to test the capabilities and flexibility of the lips in deforming speech. This paper explains on the process of capturing the lips and on the relevance measure technique used to identify optimum number of vertices to deform visemes in Standard Malay language. Results shown in this work proves that a systematic degradation by retaining 0.005% of 24,000 vertices into 120 vertices would remain the similar quality of lips deformation. Therefore, the outcome of this study justifies that an appropriate number of vertices which suitable to be used in visual speech synthesis for 3D lips model.
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