These simple examples don’t even begin to scratch the surface of Scala’s pattern matching features. Let’s try matching based on type
这些例子甚至还没有开始接触到Scala 的模式匹配特性的最表面。
The major difficulty in stereo vision is the correspondence problem that requires matching features between two or more stereo images.
立体视觉中最大的困难是对应点的寻找,即需要匹配二幅或更多幅立体图像对之间的特征。
After calculating the statistical information of curves as matching features, we can evaluate the coarse affine transformation parameters using simple correlation measure.
再通过计算曲线的统计特性作为图像间待匹配特征,并由信号相关的度量方法粗估计出图像间全局仿射变换参数。
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