面向制造领域的三视图模型组件快速检索方法研究

针对在工业设计海量组件库中快速检索特定三维模型组件的问题,文中结合压缩感知理论给出了一种基于行列与中心点的压缩感知测量过程,由此提出了一种面向制造领域基于三视图的模型组件快速检索方法。利用压缩感知方法提取各组件的三视图的颜色、纹理等测量特征并存入模型库;提取待检索组件的三视图压缩测量特征并与模型库中组件三视图的特征进行相似度计算;对组件三视图间的相似性与中心点的压缩测量特征进行融合,得出模型组件间的整体相似度并输出匹配检索结果。仿真实验表明,算法具有较好的检索性能,在查全率和查准率方面具有一定的优势。

The Research of Fast Retrieval Method for Three-view Model Component in Manufacturing Field

For solving the problem to quickly retrieve a specific three dimensional component from massive component library in industrial design, it gives a measurement process based on row and center by combining the compressed sensing theory, and proposes a fast retrieval method for three-view model component in manufacturing field are studied. First, it extracts the measurement features of color and texture from the three-view of each component by compressed sensing method, and saves them into model library. Then, it extracts the measurement features of the three-view component to be retrieved, and matches the similarity with the features of three-view components in model library. Finally, according to the similarity between the three-view of model components, it fuses the measurement features of the center and gets the overall similarity between model components and outputs the retrieval result. Experimental results show this method has better retrieval performance and has certain advantage in recall and precision rate.