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Parametric models for facial features segmentation

机译：面部特征分割的参数模型

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In this paper, we are dealing with the problem of facial features segmentation (mouth, eyes and eyebrows). A specific parametric model is defined for each deformable feature, each model being able to take into account all the possible deformations. In order to initialize each model, some characteristic points are extracted on each image to be processed (for example, eyes corners, mouth corners and brows corners). In order to fit the model with the contours to be extracted, a gradient flow (of luminance or chrominance) through the estimated contour is maximized because at each point of the searched contour, the gradient (of luminance or chrominance) is normal. The definition of a model associated to each feature offers the possibility to introduce a regularization constraint. However, the chosen models are flexible enough to produce realistic contours for the mouth, the eyes and the eyebrows. This facial features segmentation is the first step of a set of multi-media applications. (C) 2005 Elsevier B.V. All rights reserved.
机译：在本文中，我们正在处理面部特征分割（嘴，眼睛和眉毛）的问题。为每个可变形特征定义了一个特定的参数模型，每个模型都能够考虑所有可能的变形。为了初始化每个模型，在每个要处理的图像上提取一些特征点（例如，眼角，嘴角和眉角）。为了使模型适合要提取的轮廓，通过估计轮廓的梯度流（亮度或色度）是最大化的，因为在搜索轮廓的每个点处，梯度（亮度或色度）是正常的。与每个特征相关的模型的定义提供了引入正则化约束的可能性。但是，所选模型足够灵活，可以为嘴巴，眼睛和眉毛产生逼真的轮廓。这种面部特征分割是一组多媒体应用程序的第一步。 （C）2005 Elsevier B.V.保留所有权利。

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