{"title":"从单个正面图像快速纹理映射","authors":"J. Nie, L. Zhang","doi":"10.1109/ICIG.2007.94","DOIUrl":null,"url":null,"abstract":"This paper introduces an improved texture mapping method to meet the future requirement of palm equipment applications. In the case of a lower resource configuration, because there is no requirement of the exact matching between model and texture, the facial texture is extracted from a single frontal face image through a few simple interactions. According to the feature points manual- marked on the texture image, the local texture coordinates can be auto-adjusted alternatively by the algorithm. Experimental results show that the algorithm is rapid, real-time and robust; and that the output model is photo-realistic.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fast Texture Mapping from a Single Frontal Image\",\"authors\":\"J. Nie, L. Zhang\",\"doi\":\"10.1109/ICIG.2007.94\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an improved texture mapping method to meet the future requirement of palm equipment applications. In the case of a lower resource configuration, because there is no requirement of the exact matching between model and texture, the facial texture is extracted from a single frontal face image through a few simple interactions. According to the feature points manual- marked on the texture image, the local texture coordinates can be auto-adjusted alternatively by the algorithm. Experimental results show that the algorithm is rapid, real-time and robust; and that the output model is photo-realistic.\",\"PeriodicalId\":367106,\"journal\":{\"name\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIG.2007.94\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Image and Graphics (ICIG 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIG.2007.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces an improved texture mapping method to meet the future requirement of palm equipment applications. In the case of a lower resource configuration, because there is no requirement of the exact matching between model and texture, the facial texture is extracted from a single frontal face image through a few simple interactions. According to the feature points manual- marked on the texture image, the local texture coordinates can be auto-adjusted alternatively by the algorithm. Experimental results show that the algorithm is rapid, real-time and robust; and that the output model is photo-realistic.