首页> 外文会议>Pattern Recognition, 2009. CCPR 2009 >Shape Model's Alignment Algorithm with Global Shear Transformation
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Shape Model's Alignment Algorithm with Global Shear Transformation

机译:全局剪切变换的形状模型对齐算法

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ASM (active shape model) and AAM (active appearance model) model are both parametric model based on statistics. We can locate the key points of a face by AAM model accurately. There is a shape model both in the ASM and AAM. When we build the ASM model and AAM model, we must align the shapes of the training set to a unified framework. In the original alignment process, there are only scale, rotation and translation transformation. In order to improve the accuracy of the alignment, we propose a new algorithm with shear transformation besides the original geometric transformations. At last, the experimental results indicate that the new algorithm is effective for the alignment of the shape model.
机译:ASM(活动形状模型)和AAM(活动外观模型)模型都是基于统计的参数模型。我们可以通过AAM模型准确地定位人脸的关键点。 ASM和AAM中都有一个形状模型。当我们建立ASM模型和AAM模型时,我们必须将训练集的形状与统一的框架对齐。在原始对齐过程中,仅存在缩放,旋转和平移变换。为了提高对准的准确性,我们提出了一种除原始几何变换外还具有剪切变换的新算法。最后,实验结果表明该新算法对形状模型的对准是有效的。

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