{"title":"为不准确的模型生成依赖于视图的纹理","authors":"Zhen Wang, Wei-dong Geng","doi":"10.1109/ICIS.2017.7959974","DOIUrl":null,"url":null,"abstract":"Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints.","PeriodicalId":301467,"journal":{"name":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generation of view-dependent textures for an inaccurate model\",\"authors\":\"Zhen Wang, Wei-dong Geng\",\"doi\":\"10.1109/ICIS.2017.7959974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints.\",\"PeriodicalId\":301467,\"journal\":{\"name\":\"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2017.7959974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2017.7959974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generation of view-dependent textures for an inaccurate model
Existing methods of texture generation from registered images only work well on accurate models. For inaccurate models, texture drifts may occur. In this paper, we propose a view-dependent seamless texture generation method for inaccurate models. Under a specific viewpoint, this method first assigns each mesh face with a label associated with a registered image to generate a primitive texture. Different from previous methods, our label assignment process is dependent on the current view direction to reduce projective displacements of texture due to imprecision of the geometry. Then, a gradient-domain editing method is used to eliminate seams between image segments. If more than one observation views are given, the seam-levelling method further ensures color consistency between views. Experiments show that our method endows more sense of reality to inaccurate models and succeeds in maintaining temporal color consistency throughout a pre-defined sequence of viewpoints.