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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Musti, U. Ziheng Zhou Pietikainen, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center for Machine Vision Res., Univ. of Oulu, Oulu, Finland (Musti, U.; Ziheng Zhou; Pietikainen, M.) |
| Abstract | In this paper we describe the first version of our system for estimating 3D shape sequences from images of the frontal face. This approach is developed with 3D Visual Speech Animation (VSA) as the target application. In particular, the focus is on the usability of an existing state-of-the-art image-based VSA system and subsequent on-line estimation of the corresponding 3D facial shape sequence from its output. This has the added advantage of a 3D visual speech, which is mainly render ability of the face in different poses and illumination conditions. The idea is based on the detection of landmarks from the facial image which are then used to determine the pose and shape. The method belongs to the category of methods which use a prior 3D Morph able Models (3D-MM) trained using 3D facial data. For the time being it is developed for a person-specific domain, i.e. the 3D-MM and the 2D facial landmark detector are trained using the data of a single person and tested with the same person-specific data. |
| Starting Page | 40 |
| Ending Page | 45 |
| File Size | 698375 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.17 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-dimensional displays Shape Estimation Speech Face Visualization Solid modeling visual speech animation 3D face facial landmark detection active appearance models 3D morphable models |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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