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杨钟亮, 黄瑞红, 陈育苗, 张凇, 毛新华. 基于VGG-CapsNet的零件手绘草图识别模型[J]. 计算机辅助设计与图形学学报, 2021, 33(11): 1677-1687. DOI: 10.3724/SP.J.1089.2021.18774
引用本文: 杨钟亮, 黄瑞红, 陈育苗, 张凇, 毛新华. 基于VGG-CapsNet的零件手绘草图识别模型[J]. 计算机辅助设计与图形学学报, 2021, 33(11): 1677-1687. DOI: 10.3724/SP.J.1089.2021.18774
Yang Zhongliang, Huang Ruihong, Chen Yumiao, Zhang Song, Mao Xinhua. Freehand-Sketched Part Recognition Using VGG-CapsNet[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(11): 1677-1687. DOI: 10.3724/SP.J.1089.2021.18774
Citation: Yang Zhongliang, Huang Ruihong, Chen Yumiao, Zhang Song, Mao Xinhua. Freehand-Sketched Part Recognition Using VGG-CapsNet[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(11): 1677-1687. DOI: 10.3724/SP.J.1089.2021.18774

基于VGG-CapsNet的零件手绘草图识别模型

Freehand-Sketched Part Recognition Using VGG-CapsNet

  • 摘要: 针对概念设计阶段现有CAD系统难以通过手绘草图准确匹配对应的零件的问题,提出预训练网络(VGG)与胶囊网络(CapsNet)相结合的零件手绘草图识别模型(VGG-CapsNet).招募了5名设计师绘制零件草图,构建包含标准件和非标件在内的23类零件手绘草图数据集;设计了组间实验与组内实验,分别构建基于VGG-CapsNet的零件手绘草图识别模型,并与rVGG-13模型、rCNN-13模型的识别结果进行比较.实验结果表明,VGG-CapsNet模型在组间和组内实验中的平均准确率均高于其他2种模型,为零件设计知识的检索与重用提供技术支持.

     

    Abstract: To solve the problem that the existing CAD system is difficult to match the corresponding parts accurately through the freehand sketch in the conceptual design,a recognition model(VGG-CapsNet)for freehand sketch of part is proposed,which combining the pre-trained network(VGG)and capsule network(CapsNet).Five designers are recruited to sketch parts,and build 23 kinds of freehand sketch of parts in-cluding standard parts and non-standard parts.The between-group experiment and within-group experiment are designed,and then the recognition models of VGG-CapsNet are constructed respectively.The recogni-tion results of the VGG-CapsNet models are compared with the rVGG-13 models and the rCNN-13 models.The experimental results show that the mean accuracy of VGG-CapsNet model is higher than the other two models,which provides technical support for the retrieval and reuse of part design knowledge.

     

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