Fan Jiangxin, Jing Shikai, Chen Lei, Li Tianren, Shi Zefang, H. Zhijun
{"title":"体素模型的基于线结构","authors":"Fan Jiangxin, Jing Shikai, Chen Lei, Li Tianren, Shi Zefang, H. Zhijun","doi":"10.1109/ICIEA52957.2021.9436759","DOIUrl":null,"url":null,"abstract":"The voxel model discretizes the solid model with voxels, and can represent the local physical properties of the model such as materials, colors, and materials. For the problem of having low operation efficiency and taking up a lot of storage space caused by the huge amount of voxel model data, this paper proposes a Line-Based Structure for the voxel model. In this structure, the voxel model is treated as an ordered set of Lines, which is formed of voxels. It builds the correlation of independent voxels. Based on this structure, this paper achieves a voxel batch operation method and proposed voxel data fast indexing function, improving the operation efficiency of the voxel model. Then using the state of each position in the space to represent whether the voxel exists in that position, the voxel model data compressing and decompressing methods are proposed. This achieves effective compression of large data voxel models and provides a quick preview function of the model, reducing the voxel model storage space. The effect of the method in this paper is verified through experiments.","PeriodicalId":328445,"journal":{"name":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Line-Based Structure for Voxel Model\",\"authors\":\"Fan Jiangxin, Jing Shikai, Chen Lei, Li Tianren, Shi Zefang, H. Zhijun\",\"doi\":\"10.1109/ICIEA52957.2021.9436759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The voxel model discretizes the solid model with voxels, and can represent the local physical properties of the model such as materials, colors, and materials. For the problem of having low operation efficiency and taking up a lot of storage space caused by the huge amount of voxel model data, this paper proposes a Line-Based Structure for the voxel model. In this structure, the voxel model is treated as an ordered set of Lines, which is formed of voxels. It builds the correlation of independent voxels. Based on this structure, this paper achieves a voxel batch operation method and proposed voxel data fast indexing function, improving the operation efficiency of the voxel model. Then using the state of each position in the space to represent whether the voxel exists in that position, the voxel model data compressing and decompressing methods are proposed. This achieves effective compression of large data voxel models and provides a quick preview function of the model, reducing the voxel model storage space. The effect of the method in this paper is verified through experiments.\",\"PeriodicalId\":328445,\"journal\":{\"name\":\"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA52957.2021.9436759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA52957.2021.9436759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The voxel model discretizes the solid model with voxels, and can represent the local physical properties of the model such as materials, colors, and materials. For the problem of having low operation efficiency and taking up a lot of storage space caused by the huge amount of voxel model data, this paper proposes a Line-Based Structure for the voxel model. In this structure, the voxel model is treated as an ordered set of Lines, which is formed of voxels. It builds the correlation of independent voxels. Based on this structure, this paper achieves a voxel batch operation method and proposed voxel data fast indexing function, improving the operation efficiency of the voxel model. Then using the state of each position in the space to represent whether the voxel exists in that position, the voxel model data compressing and decompressing methods are proposed. This achieves effective compression of large data voxel models and provides a quick preview function of the model, reducing the voxel model storage space. The effect of the method in this paper is verified through experiments.