{"title":"基于几何和图像的3D模型视图质量比较","authors":"J. Lacko, Z. Černeková, Marian Maricak","doi":"10.1145/1925059.1925090","DOIUrl":null,"url":null,"abstract":"In this work we present image-based approach to the best view selection for 3D objects. The proposed method is based on entropy measured in image domain. Several 3D models are used in the experiment. The results are compared to the well-known geometrical method based on perspective frustum entropy, a special case of viewpoint entropy.","PeriodicalId":235681,"journal":{"name":"Spring conference on Computer graphics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Geometry and image based view quality comparison for 3D models\",\"authors\":\"J. Lacko, Z. Černeková, Marian Maricak\",\"doi\":\"10.1145/1925059.1925090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we present image-based approach to the best view selection for 3D objects. The proposed method is based on entropy measured in image domain. Several 3D models are used in the experiment. The results are compared to the well-known geometrical method based on perspective frustum entropy, a special case of viewpoint entropy.\",\"PeriodicalId\":235681,\"journal\":{\"name\":\"Spring conference on Computer graphics\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spring conference on Computer graphics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1925059.1925090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spring conference on Computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1925059.1925090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geometry and image based view quality comparison for 3D models
In this work we present image-based approach to the best view selection for 3D objects. The proposed method is based on entropy measured in image domain. Several 3D models are used in the experiment. The results are compared to the well-known geometrical method based on perspective frustum entropy, a special case of viewpoint entropy.