{"title":"论文题目:基于aMRG的噪声水密模型形状检索","authors":"Tony Tung, F. Schmitt","doi":"10.1109/SMI.2008.4547981","DOIUrl":null,"url":null,"abstract":"This paper presents an evaluation of the stability of the augmented multiresolution Reeb graph (aMRG) for shape retrieval of 3D watertight models. The method is based on a Reeb graph construction which is a well-known topology based shape descriptor. Using multiresolution property and additive geometrical and topological informations, aMRG has shown its efficiency and robustness to retrieve high quality 3D models. The SHREC - SHape REtrieval Contest 2008 Stability on Watertight Models Track data collection B is composed of 1500 models: 15 classes of 100 models. Each class contains original models and models with noise. We propose to evaluate the robustness of the aMRG with embedded topological features with regards to the following perturbations: Gaussian noise, uneven re-sampling, small protrusions, and topological noise.","PeriodicalId":118774,"journal":{"name":"2008 IEEE International Conference on Shape Modeling and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"SHREC’08 entry: Shape retrieval of noisy watertight models using aMRG\",\"authors\":\"Tony Tung, F. Schmitt\",\"doi\":\"10.1109/SMI.2008.4547981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an evaluation of the stability of the augmented multiresolution Reeb graph (aMRG) for shape retrieval of 3D watertight models. The method is based on a Reeb graph construction which is a well-known topology based shape descriptor. Using multiresolution property and additive geometrical and topological informations, aMRG has shown its efficiency and robustness to retrieve high quality 3D models. The SHREC - SHape REtrieval Contest 2008 Stability on Watertight Models Track data collection B is composed of 1500 models: 15 classes of 100 models. Each class contains original models and models with noise. We propose to evaluate the robustness of the aMRG with embedded topological features with regards to the following perturbations: Gaussian noise, uneven re-sampling, small protrusions, and topological noise.\",\"PeriodicalId\":118774,\"journal\":{\"name\":\"2008 IEEE International Conference on Shape Modeling and Applications\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Shape Modeling and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMI.2008.4547981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Shape Modeling and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMI.2008.4547981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SHREC’08 entry: Shape retrieval of noisy watertight models using aMRG
This paper presents an evaluation of the stability of the augmented multiresolution Reeb graph (aMRG) for shape retrieval of 3D watertight models. The method is based on a Reeb graph construction which is a well-known topology based shape descriptor. Using multiresolution property and additive geometrical and topological informations, aMRG has shown its efficiency and robustness to retrieve high quality 3D models. The SHREC - SHape REtrieval Contest 2008 Stability on Watertight Models Track data collection B is composed of 1500 models: 15 classes of 100 models. Each class contains original models and models with noise. We propose to evaluate the robustness of the aMRG with embedded topological features with regards to the following perturbations: Gaussian noise, uneven re-sampling, small protrusions, and topological noise.