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Non-Uniform B-Spline Curve Interpolation Method for Feature Points Selection under Curvature Adaptive Condition 曲率自适应条件下特征点选择的非均匀B样条曲线插值方法
计算机辅助设计与图形学学报 Pub Date : 2021-09-01 DOI: 10.3724/sp.j.1089.2021.18366
Liangji Chen, Fei Gao, Bo Zhao, Longfei Ma
{"title":"Non-Uniform B-Spline Curve Interpolation Method for Feature Points Selection under Curvature Adaptive Condition","authors":"Liangji Chen, Fei Gao, Bo Zhao, Longfei Ma","doi":"10.3724/sp.j.1089.2021.18366","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18366","url":null,"abstract":": Aiming at the massive discrete tool position data generated in the computer numerically controlled programming stage, a non-uniform B-spline curve interpolation method based on curvature adaptive select-ing feature point is proposed under the condition of satisfying erpolation curve can meet the interpolation accuracy condition. The simulation calculation results of the ac-tual tool position data show that the method can better retain the characteristics of the original data curve in terms of shape and accuracy even when a large amount of the original tool position data is removed, and it has advantages of fewer iteration calculations and larger removing the data points. The method will have high application value to the spline computer numerically controlled programming of massive discrete tool position data.","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42955021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Design and Optimization of Ship Cabin Space Layout Based on Crowd Simulation 基于人群仿真的船舶舱室空间布局设计与优化
计算机辅助设计与图形学学报 Pub Date : 2021-09-01 DOI: 10.3724/sp.j.1089.2021.18822
Pei Lyu, Weichao Chen, Quan Zhang, Mingliang Xu, Long Huang, Chenbing Guo, Bing Zhou
{"title":"The Design and Optimization of Ship Cabin Space Layout Based on Crowd Simulation","authors":"Pei Lyu, Weichao Chen, Quan Zhang, Mingliang Xu, Long Huang, Chenbing Guo, Bing Zhou","doi":"10.3724/sp.j.1089.2021.18822","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18822","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41804903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Time Series Denoising Using Nonlinear Schrödinger Equation 非线性Schrödinger方程的时间序列去噪
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18671
Yifan Lei, Gang Song, Chengyong Gao, Fangxun Bao, Yunfeng Zhang
{"title":"Time Series Denoising Using Nonlinear Schrödinger Equation","authors":"Yifan Lei, Gang Song, Chengyong Gao, Fangxun Bao, Yunfeng Zhang","doi":"10.3724/sp.j.1089.2021.18671","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18671","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42361629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Local Banking to 45°: Axis Grid Generation for Line Charts 本地银行到45°:轴网格生成折线图
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18660
Chen Bao, Yunhai Wang
{"title":"Local Banking to 45°: Axis Grid Generation for Line Charts","authors":"Chen Bao, Yunhai Wang","doi":"10.3724/sp.j.1089.2021.18660","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18660","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42429019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning Methods in Medical Image Compression 医学图像压缩中的机器学习方法
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18687
Yuxuan Hou, Yining Di, Zhong Ren, Y. Tao, Wei Chen
{"title":"Machine Learning Methods in Medical Image Compression","authors":"Yuxuan Hou, Yining Di, Zhong Ren, Y. Tao, Wei Chen","doi":"10.3724/sp.j.1089.2021.18687","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18687","url":null,"abstract":"A large amount of image data such as CT that needs storage and transmission is generated in medical research. It is hard for the hospital to handle all data of the numerous patients. Therefore, it is of vital importance to compress these image data. Recently, learning-based medical image compression has become a new research trend with the development of artificial intelligence. Traditional methods in medical data compression are firstly reviewed. Further study in learning-based approaches is made, and the compression performance of these approaches in different medical image data such as brain CT and liver CT are shown. In the meantime, the advantages and disadvantages of these approaches in various aspects such as compression ratio, algorithm complexity and reconstruction quality are systematically summarized. It is pointed out that the combination of learning-based method and ROI-based method achieves high compression ratio brought by lossy compression, while keeping the feature information of the critical regions. Consequently, this approach is much more suitable for medical image compression than others. Finally, the paper concluded with a discussion of future development in this field.","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47629041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Survey on OD Data Visualization OD数据可视化研究综述
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18679
Le Tu, Binjie Chen, Zhiguang Zhou
{"title":"A Survey on OD Data Visualization","authors":"Le Tu, Binjie Chen, Zhiguang Zhou","doi":"10.3724/sp.j.1089.2021.18679","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18679","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46711145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Streamgraph Generation with Enhanced Readability 具有增强可读性的流图生成
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18688
Chuan Bu, Quanjie Zhang, Yunhai Wang, Peng Jiang
{"title":"Streamgraph Generation with Enhanced Readability","authors":"Chuan Bu, Quanjie Zhang, Yunhai Wang, Peng Jiang","doi":"10.3724/sp.j.1089.2021.18688","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18688","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43874674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DEM-cGAN Framework Constrained by Feature Lines and Elevation Range 特征线和高程约束的DEM-cGAN框架
计算机辅助设计与图形学学报 Pub Date : 2021-08-01 DOI: 10.3724/sp.j.1089.2021.18656
Xiling Jiang, ShaoRong Wang, Wenyu Li, Guoping Wang
{"title":"DEM-cGAN Framework Constrained by Feature Lines and Elevation Range","authors":"Xiling Jiang, ShaoRong Wang, Wenyu Li, Guoping Wang","doi":"10.3724/sp.j.1089.2021.18656","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18656","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44486957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Glandular Cell Segmentation Method Combined with Dense Connective Blocks and Self-Attention Mechanism 结合密集连接块和自注意机制的腺细胞分割方法
计算机辅助设计与图形学学报 Pub Date : 2021-07-01 DOI: 10.3724/sp.j.1089.2021.18625
Baoqi Zhao, Fei Yu, Junmei Sun, Xiumei Li, L. Yuan, Lei Xiao
{"title":"Glandular Cell Segmentation Method Combined with Dense Connective Blocks and Self-Attention Mechanism","authors":"Baoqi Zhao, Fei Yu, Junmei Sun, Xiumei Li, L. Yuan, Lei Xiao","doi":"10.3724/sp.j.1089.2021.18625","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18625","url":null,"abstract":"Currently used cell segmentation methods are easily to cause the problem of missegmentation and impreciseness for glandular cell segmentation. A glandular cell segmentation model based on U-Net network is proposed which combines dense connective blocks and self-attention mechanism. Firstly, the convolution layers in the U-Net structure are combined to form the dense connective blocks, so that the information can be extracted from the image at different scales. Then the self-attention mechanism is introduced at the decoder to establish a rich context-dependent model for local features to suppress unnecessary feature propagation and improve the accuracy of glandular cell segmentation. The experimental results on the 2015 MICCAI Gland Segmentation Challenge dataset show that the proposed model, with a small number of extra parameters, can achieve improved performance in terms of F1-score, Mean Dice coefficient, and Hausdorff distance compared with other U-Net based methods.","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46043607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic Obstacle Avoidance Method for Carrier Aircraft Based on Deep Reinforcement Learning 基于深度强化学习的舰载机动态避障方法
计算机辅助设计与图形学学报 Pub Date : 2021-07-01 DOI: 10.3724/sp.j.1089.2021.18637
Junxiao Xue, Xiangya Kong, Yibo Guo, Aiguo Lu, Jian Li, Xi Wan, Mingliang Xu
{"title":"Dynamic Obstacle Avoidance Method for Carrier Aircraft Based on Deep Reinforcement Learning","authors":"Junxiao Xue, Xiangya Kong, Yibo Guo, Aiguo Lu, Jian Li, Xi Wan, Mingliang Xu","doi":"10.3724/sp.j.1089.2021.18637","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.18637","url":null,"abstract":"","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43778362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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