Samuel Gandang Gunanto, M. Hariadi, E. M. Yuniarno
{"title":"三维人脸表面合成标记的计算机人脸动画","authors":"Samuel Gandang Gunanto, M. Hariadi, E. M. Yuniarno","doi":"10.1109/ICIMECE.2016.7910452","DOIUrl":null,"url":null,"abstract":"An animated character has its own characteristics and behaviour. The animator needs to be skilled enough to make a complex animation, especially on making face expression. a Well defined facial expression can represent the emotional condition and make the animation more expressing the mood. But most facial animation is done by manually, frame-by-frame. It is very time-consuming. This research proposed a combination methods for handling the facial animation based on marker location and face surface from the 3D character. The motion data captured based on the location and movement of the marker then implemented on 3D face model to generate the motion guidance. As a guidance, this marker data role as a centroid of a vertex cluster. The cluster provided by implementing segmentation fp-NN Clustering method based on surface and can visualize the deformation using linear blend skinning methods. The result from this research shows that this system can automatically generate facial animations based on the marker data and the surface segmentation. The visualization of deformation arranges accordingly to the motion captured data and organized sequentially.","PeriodicalId":143505,"journal":{"name":"2016 2nd International Conference of Industrial, Mechanical, Electrical, and Chemical Engineering (ICIMECE)","volume":"3521 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Computer facial animation with synthesize marker on 3D faces surface\",\"authors\":\"Samuel Gandang Gunanto, M. Hariadi, E. M. Yuniarno\",\"doi\":\"10.1109/ICIMECE.2016.7910452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An animated character has its own characteristics and behaviour. The animator needs to be skilled enough to make a complex animation, especially on making face expression. a Well defined facial expression can represent the emotional condition and make the animation more expressing the mood. But most facial animation is done by manually, frame-by-frame. It is very time-consuming. This research proposed a combination methods for handling the facial animation based on marker location and face surface from the 3D character. The motion data captured based on the location and movement of the marker then implemented on 3D face model to generate the motion guidance. As a guidance, this marker data role as a centroid of a vertex cluster. The cluster provided by implementing segmentation fp-NN Clustering method based on surface and can visualize the deformation using linear blend skinning methods. The result from this research shows that this system can automatically generate facial animations based on the marker data and the surface segmentation. The visualization of deformation arranges accordingly to the motion captured data and organized sequentially.\",\"PeriodicalId\":143505,\"journal\":{\"name\":\"2016 2nd International Conference of Industrial, Mechanical, Electrical, and Chemical Engineering (ICIMECE)\",\"volume\":\"3521 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference of Industrial, Mechanical, Electrical, and Chemical Engineering (ICIMECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMECE.2016.7910452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference of Industrial, Mechanical, Electrical, and Chemical Engineering (ICIMECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMECE.2016.7910452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer facial animation with synthesize marker on 3D faces surface
An animated character has its own characteristics and behaviour. The animator needs to be skilled enough to make a complex animation, especially on making face expression. a Well defined facial expression can represent the emotional condition and make the animation more expressing the mood. But most facial animation is done by manually, frame-by-frame. It is very time-consuming. This research proposed a combination methods for handling the facial animation based on marker location and face surface from the 3D character. The motion data captured based on the location and movement of the marker then implemented on 3D face model to generate the motion guidance. As a guidance, this marker data role as a centroid of a vertex cluster. The cluster provided by implementing segmentation fp-NN Clustering method based on surface and can visualize the deformation using linear blend skinning methods. The result from this research shows that this system can automatically generate facial animations based on the marker data and the surface segmentation. The visualization of deformation arranges accordingly to the motion captured data and organized sequentially.