{"title":"Simplification for texture mapping models with mesh segmentation","authors":"Lili Wang, Zhiqiang Ma, Bing Xue, Zhen Shen","doi":"10.1109/VSMM.2010.5665983","DOIUrl":null,"url":null,"abstract":"To reduce the loss of visual details in simplification for textured meshes, this paper presents a simplification method based on mesh segmentation. Firstly, the model is partitioned into some sub-meshes according to their properties of appearance, such as texture, normal, etc. Thus, the correlation between sub-meshes can be decreased. Then, we calculate the error metric for the edge collapse in each sub-mesh. Lastly, we merge the simplified sub-meshes and fix the gap among them to regain an integrated mesh. Because the properties of appearance are used to separate the high-frequency details from low-frequency ones, our approach decreases the loss of the detailed. Therefore, we can not only keep the over whole contours of the model, but also maintain better geometric and appearance details. The results of experiments demonstrate our mesh segmentation based method is effective.","PeriodicalId":348792,"journal":{"name":"2010 16th International Conference on Virtual Systems and Multimedia","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 16th International Conference on Virtual Systems and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VSMM.2010.5665983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
To reduce the loss of visual details in simplification for textured meshes, this paper presents a simplification method based on mesh segmentation. Firstly, the model is partitioned into some sub-meshes according to their properties of appearance, such as texture, normal, etc. Thus, the correlation between sub-meshes can be decreased. Then, we calculate the error metric for the edge collapse in each sub-mesh. Lastly, we merge the simplified sub-meshes and fix the gap among them to regain an integrated mesh. Because the properties of appearance are used to separate the high-frequency details from low-frequency ones, our approach decreases the loss of the detailed. Therefore, we can not only keep the over whole contours of the model, but also maintain better geometric and appearance details. The results of experiments demonstrate our mesh segmentation based method is effective.