基于视图的主动外观模型

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) Pub Date : 2000-03-26 DOI:10.1109/AFGR.2000.840639

Tim Cootes, G. V. Wheeler, K. N. Walker, C. Taylor

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引用次数: 623

摘要

我们证明，少量的二维统计模型就足以捕捉任何视角（全轮廓到正面到平行）下的脸部形状和外观。每个模型都是线性的，可以使用主动外观模型算法与新图像快速匹配。我们展示了如何利用这样一组模型来估计头部姿态、通过大角度的头部旋转来跟踪人脸，以及如何从未曾见过的视角合成人脸。

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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View-based active appearance models

We demonstrate that a small number of 2D statistical models are sufficient to capture the shape and appearance of a face from any viewpoint (full profile to front-to-parallel). Each model is linear and can be matched rapidly to new images using the active appearance model algorithm. We show how such a set of models can be used to estimate head pose, to track faces through large angles of head rotation and to synthesize faces from unseen viewpoints.

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

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