文献类型：期刊文献

中文题名：基于VGG-CapsNet的零件手绘草图识别模型

英文题名：Freehand-Sketched Part Recognition Using VGG-CapsNet

作者：杨钟亮[1];黄瑞红[1];陈育苗[2];张凇[3];毛新华[4]

机构：[1]东华大学机械工程学院,上海201620;[2]华东理工大学艺术设计与传媒学院,上海200237;[3]Department of Materials,The University of Manchester Manchester M139PL;[4]北京中丽制机工程技术有限公司,北京101111

年份：2021

卷号：33

期号：11

起止页码：1677

中文期刊名：计算机辅助设计与图形学学报

外文期刊名：Journal of Computer-Aided Design & Computer Graphics

收录：CSTPCD;;EI(收录号：20214811226743);Scopus;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：国家自然科学基金(51905175);上海市浦江人才计划(2019PJC021);浙江省健康智慧厨房系统集成重点实验室开放基金(2014E10014);中央高校基本科研业务费专项资金(2232018D3-27).

语种：中文

中文关键词：手绘草图;零件识别;胶囊网络;深度学习

外文关键词：freehand sketch;part recognition;capsule network;deep learning

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.
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.