点云模型渐变研究如何将一个源点云模型平滑的变化成目标点云模型。
Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.
系统包括初切分，词性标注、歧义字段处理、模型平滑、未登录词识别等功能模块。
The system includes some modules such as originally segmenting, POS tagging, ambiguity processing, model smoothing and Unknown Word Recognizing.
从这个角度看，我们可以定出4个层次的细节，它们非常适合平滑地将分析模型转换到可执行过程模型。
In this perspective, we can identify 4 levels of detail, which perfectly fits with a smooth transition from analysis model to executable process model.
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