Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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"Everyone has been dreaming for 40 years of one robot hand to rule the world. A lot of people think it could be the humanoid hand," says Pierce.，这一点在快连下载安装中也有详细论述
– Do not change pose, anatomy, proportions, clothing details, shading, or scene elements.