Abstract | ||
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This paper proposes a method for modeling 3D face from the 2D facial images captured from the surrounding 2D cameras by which the color texture and surface shape information of the face are synchronously measured. And 3D facial caricaturing method is proposed by using the 3D(the polygon data) face model. Automatic method for extracting regions of the facial parts is technically proposed, and the feature points are extracted from those regions. We propose the mesh model composed of 44 feature points and 82 meshes to cover a head. To generate the caricature from this polygon data, the individuality feature is defined in value by the difference of the feature points between the input face and the mean face, which was defined from the average of many input faces. |
Year | DOI | Venue |
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2001 | 10.1109/VSMM.2001.969721 | digital identity management |
Keywords | DocType | ISBN |
human face,facial part,facial caricaturing method,feature point,modeling system,input face,polygon data,facial image,automatic method,individuality feature,mean face,face model,facial caricaturing,face detection,data mining,head,computer graphics,color,shape | Conference | 0-7695-1402-2 |
Citations | PageRank | References |
15 | 2.90 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
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Takayuki Fujiwara | 1 | 51 | 14.13 |
Hiroyasu Koshimizu | 2 | 100 | 31.83 |
Kouta Fujimura | 3 | 37 | 6.63 |
Gorou Fujita | 4 | 15 | 2.90 |
Yoshiaki Noguchi | 5 | 19 | 4.42 |
Naoya Ishikawa | 6 | 15 | 2.90 |