{"title":"面向面对齐的精确主动形状模型","authors":"Lu Huchuan, Shi Wen-gang","doi":"10.1109/ICTAI.2005.22","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed three improvements on the traditional active shape models, which make the active shape models execute more accurate for face alignment. These improvements including: group method for avoiding to create a distorted shape; best direction and extended width for search profile; enhanced edge profile for special landmark points on the cheek contour of face shape","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Accurate active shape model for face alignment\",\"authors\":\"Lu Huchuan, Shi Wen-gang\",\"doi\":\"10.1109/ICTAI.2005.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed three improvements on the traditional active shape models, which make the active shape models execute more accurate for face alignment. These improvements including: group method for avoiding to create a distorted shape; best direction and extended width for search profile; enhanced edge profile for special landmark points on the cheek contour of face shape\",\"PeriodicalId\":294694,\"journal\":{\"name\":\"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTAI.2005.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAI.2005.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we proposed three improvements on the traditional active shape models, which make the active shape models execute more accurate for face alignment. These improvements including: group method for avoiding to create a distorted shape; best direction and extended width for search profile; enhanced edge profile for special landmark points on the cheek contour of face shape