利用基于三维弹簧的人脸模型从单幅图像合成虚拟视图人脸图像

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI:10.1109/AFGR.2000.840685

G. Feng, P. Yuen, J. Lai

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引用次数: 8

摘要

众所周知，如果一个人的面部3D模型可用，则可以合成该人的2D视图。本文提出了一种基于三维弹簧的人脸模型(SBFM)方法，从单幅图像中确定具有不同姿态和面部表情的人的精确人脸模型。该模型结合了计算机图形学中的通用三维人脸模型和计算机视觉中的可变形模板的概念。使用麻省理工学院人工智能实验室和耶鲁大学的人脸图像数据库对我们提出的方法进行了测试，结果令人鼓舞。

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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Virtual view face image synthesis using 3D spring-based face model from a single image

It is known that 2D views of a person can be synthesised if the face 3D model of that person is available. This paper proposes a new method, called 3D spring-based face model (SBFM), to determine the precise face model of a person with different poses and facial expressions from a single image. The SBFM combines the concepts of generic 3D face model in computer graphics and deformable template in computer vision. Face image databases from MIT AI laboratory and Yale University are used to test our proposed method and the results are encouraging.

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Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)

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