Adding Curvature to Minimum Description Length Shape Models
Adding Curvature to Minimum Description Length Shape Models
复制标题
将曲率添加到最小描述长度形状模型
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
H. Ólafsdóttir
中科院分区：
文献类型：
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作者：
H. H. Thodberg;H. Ólafsdóttir
形状建模的最小描述长度 (MDL) 方法寻求根据形状上标记的坐标对一组形状进行紧凑描述。事实证明，这种优化产生的标记位置在很大程度上解决了所谓的点对应问题：如何在定义为曲线的形状上选择点，以使这些点在整个数据集中相对应。然而，这种 MDL 方法并没有捕获与曲线曲率相关的重要形状特征，并且有时它会放置与人类点对应概念明显冲突的标记。本文展示了如何通过向表示整个数据集中曲率特征不匹配的成本函数添加一项来微调 MDL 方法。该方法在成人头部轮廓上进行了说明。 MDL 方法能够解决点对应问题，并且在使用 MDL 生成的标记时，将头部分类为男性和女性的效果显着提高。
The Minimum Description Length (MDL)approach to shape modelling seeks a compact description of a set of shapes in terms of the coordinates of marks on the shapes. It has been shown that the mark positions resulting from this optimisation to a large extent solve the so-called point correspondence problem: How to select points on shapes defined as curves so that the points correspond across a data set. However, this MDL approach does not capture important shape characteristics related to the curvature of the curves, and occasionally it places marks in obvious conflict with the human notion of point correspondence. This paper shows how the MDL approach can be fine-tuned by adding a term to the cost function expressing the mismatch of curvature features across the data set. The method is illustrated on silhouettes of adult heads. The MDL method is able to solve the point correspondence problem and a classification of the heads into male and female improves dramatically when using the MDL-generated marks.