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An affine invariant deformable shape representation for general curves

机译:一般曲线的仿射不变变形形状表示

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Automatic construction of shape models from examples has been the focus of intense research during the last couple of years. These methods have proved to be useful for shape segmentation, tracking and shape understanding. In this paper novel theory to automate shape modelling is described. The theory is intrinsically defined for curves although curves are infinite dimensional objects. The theory is independent of parameterisation and affine transformations. We suggest a method for implementing the ideas and compare it to minimising the description length of the model (MDL). It turns out that the accuracy of the two methods is comparable. Both the MDL and our approach can get stuck at local minima. Our algorithm is less computational expensive and relatively good solutions are obtained after a few iterations. The MDL is, however, better suited at fine-tuning the parameters given good initial estimates to the problem. It is shown that a combination of the two methods outperforms either on its own.
机译:从例子自动施工形状模型一直是过去几年中强烈研究的重点。已经证明这些方法可用于形状分割,跟踪和形状理解。在本文中,描述了自动化形状建模的新颖理论。该理论为曲线本质上定义,尽管曲线是无限的尺寸对象。该理论与参数化和仿射转换无关。我们建议实现思想的方法,并比较它以最小化模型的描述长度(MDL)。事实证明,两种方法的准确性是可比的。 MDL和我们的方法都可以陷入当地的最小值。我们的算法较少计算昂贵且在几次迭代之后获得相对良好的解决方案。然而,MDL更适合于微调参数给出对问题的良好初始估计。结果表明,这两种方法的组合在其自身上表现出。

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