图像的均方误差的matlab代码-shape_from_metric:shape_from_metric
图像的均方误差的matlab代码
shape_from_metric
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这次新增了十六面体的实验，虽然现在来看并不是重点。
这次发现一个问题，虽然这问题之前就说过了，也就是初始化。我使用的是各边长的平均值作为初始值并取得了较好的正确率。但是这是因为之前的八面体各边长度相差不大。这次在创建凸多面体时新加了一个功能，即控制上下两个顶点到x-y平面的距离，令其为rand(1)z+1，z为用户指定的。
然后调整z。
对于十六面体，当z=1时，正确率为100%；当z=10，正确率为85%；当z=100时，正确率为45.6%；当z=1000时，正确率为3%。
对于八面体，结果就更差了，当z=1时，正确率为97.5%；当z=10时，正确率仅为8.4%；当z=100时，正确率为1.7%。
只所以当z增大时正确率会降低是因为初始值取的不好，即各边长的平均值作为初始值可能并不是一个好的选择。但是从另一个角度来看，由于只知道边长，故也想不出更加好的初始化作为对角线长度。
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上次之所以正确率这么低主要是代码写错了。
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