dc.citation.conferencePlace |
NE |
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dc.citation.conferencePlace |
Amsterdam |
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dc.citation.title |
2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 |
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dc.contributor.author |
Breuer, Pia |
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dc.contributor.author |
Kim, Kwang-In |
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dc.contributor.author |
Kienzle, Wolf |
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dc.contributor.author |
Schölkopf, Bernhard |
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dc.contributor.author |
Blanz, Volker |
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dc.date.accessioned |
2023-12-20T04:36:28Z |
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dc.date.available |
2023-12-20T04:36:28Z |
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dc.date.created |
2019-02-28 |
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dc.date.issued |
2008-09-17 |
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dc.description.abstract |
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combination of Support Vector Machines (SVMs) and a Morphable Model of 3D faces. After SVM face detection, individual facial features are detected using a novel regression- and classification-based approach, and probabilistically plausible configurations of features are selected to produce a list of candidates for several facial feature positions. In the next step, the configurations of feature points are evaluated using a novel criterion that is based on a Morphable Model and a combination of linear projections. To make the algorithm robust with respect to head orientation, this process is iterated while the estimate of pose is refined. Finally, the feature points initialize a model-fitting procedure of the Morphable Model. The result is a highresolution 3D surface model. © 2008 IEEE. |
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dc.identifier.bibliographicCitation |
2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 |
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dc.identifier.doi |
10.1109/AFGR.2008.4813339 |
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dc.identifier.issn |
0000-0000 |
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dc.identifier.scopusid |
2-s2.0-67650683009 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/35787 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/4813339 |
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dc.language |
영어 |
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dc.publisher |
IEEE |
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dc.title |
Automatic 3D face reconstruction from single images or video |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2008-09-17 |
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