{"title":"基于特征的简化曲面三维模型相似度插值搜索","authors":"A. Kim, O. Gwun, Juwhan Song","doi":"10.1109/ICDIM.2009.5356790","DOIUrl":null,"url":null,"abstract":"This paper proposes the feature descriptor for 3D model similarity search using the distribution of normal directions on the simplified surface. Feature descriptor of 3D model should be invariant to translation, rotation and scale for its model. So this paper normalizes all the model using PCA and preprocesses surface mesh simplification to robust against noise. The normal is sampled in proportion to each polygon's area and then it is calculated by weight average method via angles and interpolated. We implemented the 3D model retrieval system and performed the similarity search test with the shape bench mark data provided by the Princeton University. Experimental results show the performance improvement of proposed algorithm from 24.7% to 32.2% in comparison with conventional methods by ANMRR.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feature based similarity search in simplified surface 3D model using interpolation method\",\"authors\":\"A. Kim, O. Gwun, Juwhan Song\",\"doi\":\"10.1109/ICDIM.2009.5356790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the feature descriptor for 3D model similarity search using the distribution of normal directions on the simplified surface. Feature descriptor of 3D model should be invariant to translation, rotation and scale for its model. So this paper normalizes all the model using PCA and preprocesses surface mesh simplification to robust against noise. The normal is sampled in proportion to each polygon's area and then it is calculated by weight average method via angles and interpolated. We implemented the 3D model retrieval system and performed the similarity search test with the shape bench mark data provided by the Princeton University. Experimental results show the performance improvement of proposed algorithm from 24.7% to 32.2% in comparison with conventional methods by ANMRR.\",\"PeriodicalId\":300287,\"journal\":{\"name\":\"2009 Fourth International Conference on Digital Information Management\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2009.5356790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2009.5356790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feature based similarity search in simplified surface 3D model using interpolation method
This paper proposes the feature descriptor for 3D model similarity search using the distribution of normal directions on the simplified surface. Feature descriptor of 3D model should be invariant to translation, rotation and scale for its model. So this paper normalizes all the model using PCA and preprocesses surface mesh simplification to robust against noise. The normal is sampled in proportion to each polygon's area and then it is calculated by weight average method via angles and interpolated. We implemented the 3D model retrieval system and performed the similarity search test with the shape bench mark data provided by the Princeton University. Experimental results show the performance improvement of proposed algorithm from 24.7% to 32.2% in comparison with conventional methods by ANMRR.