计算机辅助设计与图形学学报最新文献

Interactive Visual Analysis Engine for High-Performance CAE Simulations 用于高性能CAE仿真的交互式可视化分析引擎

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19261

Yi Cao, Huawei Wang, Fang Xia, Zhe Zhang, Zhiwei Ai, Fu-kun Wu, Siming Cao

引用次数: 0

Adaptive Colormap Optimization Based on Inserting Colors 基于插入颜色的自适应色图优化

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19266

Yongwei Zhao, Qiong Zeng, Yunhai Wang, Fan Zhong, Changhe Tu

{"title":"Adaptive Colormap Optimization Based on Inserting Colors","authors":"Yongwei Zhao, Qiong Zeng, Yunhai Wang, Fan Zhong, Changhe Tu","doi":"10.3724/sp.j.1089.2021.19266","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.19266","url":null,"abstract":": Traditional automatic color optimization methods face the challenge of expressing global features in dynamic data ranges. To solve this problem, an adaptive colormap optimization method based on inserting colors is proposed, which includes a process of estimating color inserting position and an inserting color optimization procedure. Firstly, color inserting positions are selected based on color discriminability and data histo-gram distribution. By keeping the color inserting positions, corresponding embedding colors are estimated through a novel energy optimization equation under the guidance of visual discriminability and the consistency to the original colormap. On the basis of the algorithm, an interactive visual data exploratory system is pro-vided, which includes supporting global data perception and local ROI analysis. The effectiveness and applica-bility of the algorithm is evaluated via a user study and a case study, based on 6 colormaps with different color features and 8 datasets with different data distributions. The results demonstrate that proposed method can produce high quality visual data information compared with other algorithms, providing a condition for further data analysis.","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43823062","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 the Visual Analytics for Data Ranking 数据排序的可视化分析研究

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19264

Zhiguang Zhou, Aosheng Cheng, Shaoxiong Zhu, Guojun Li, Xiaowei Mei

引用次数: 0

Element Layout Prediction with Sequential Operation Data 基于序列运算数据的单元布局预测

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.18831

Yingjing Li, Pengfei Xu, Hui-Chin Huang

引用次数: 0

3D Point Cloud Restoration via Deep Learning: A Comprehensive Survey 基于深度学习的三维点云恢复研究综述

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.18817

Caixia Liu, Mingqiang Wei, Yanwen Guo

引用次数: 1

Continuous Sign Language Recognition Based on 3D Hand Skeleton Data 基于三维手骨架数据的连续手语识别

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.18816

Zhuocheng Wang, Jingqiao Zhang

引用次数: 1

Error-Controlled Data Reduction Approach for Large-Scale Structured Datasets 大规模结构化数据集的误差控制数据约简方法

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19263

Zhiwei Ai, Juelin Leng, Fang Xia, Huawei Wang, Yi Cao

{"title":"Error-Controlled Data Reduction Approach for Large-Scale Structured Datasets","authors":"Zhiwei Ai, Juelin Leng, Fang Xia, Huawei Wang, Yi Cao","doi":"10.3724/sp.j.1089.2021.19263","DOIUrl":"https://doi.org/10.3724/sp.j.1089.2021.19263","url":null,"abstract":"The massive datasets generated by scientific or engineering simulations have reached terabytes (TB) or even petabytes (PB). Data reduction has thus become one of the most important tools for saving I/O and storage costs. In order to achieve high-precision visualization and analysis, an error-controlled data reduction approach is proposed for reducing structured large-scale datasets. Firstly, taken the difference between the resulting data and the original one as a constraint, a multi-level structured adaptively-refined background grid is constructed, according to the spatial distribution characteristics of the underlying physical fields. Secondly, the original data is interpolated and mapped to the background grid, and as a result, the data with much less cells is obtained and the storage cost is reduced. Finally, the reduced data is exported to the parallel file system in real time. The proposed data reduction algorithm is implemented based on the parallel programming framework named JASMIN. In this way, the algorithm can be directly coupled with the numerical simulation programs developed with JASMIN. Test results demonstrate that the parallel algorithm can be extended to tens of thousands of CPU cores in parallel. The proposed algorithm has been successfully applied to the electromagnetic simulation of unmanned aerial vehicle irradiation. The cell number of a structured dataset with one hundred billions cells is 1796 计算机辅助设计与图形学学报第 33 卷 reduced by 99.8%, with the relative error less than 10%. The peak signal-tonoise ratio between the two images, rendered using the reduced data and the original one respectively, is equal to 47.08 dB, which means a high similarity and thus satisfies the precision requirement of visualization.","PeriodicalId":52442,"journal":{"name":"计算机辅助设计与图形学学报","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42302122","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

Component-Aware High-Resolution 3D Object Reconstruction 组件感知高分辨率三维物体重建

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.18805

Weichao Shen, Tianshuo Ma, Yuwei Wu, Yunde Jia

引用次数: 0

Visual Analysis of Traditional Chinese Medicine Health Records 中医健康档案可视化分析

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19259

Xiaoxuan Hu, S. Peng, Haijing Hou, N. Yang, Yongjie Lyu, Liang Zhou

引用次数: 1

Visual Analytics of RNN for Thermal Power Control System Identification RNN视觉分析在火电控制系统辨识中的应用

计算机辅助设计与图形学学报 Pub Date : 2021-12-01 DOI: 10.3724/sp.j.1089.2021.19268

L. Ji, Yun Yang, S. Qiu, Yi Wang, Bin Tian

引用次数: 0