際際滷shows by User: DONDON2010 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: DONDON2010 / Thu, 03 Mar 2016 11:47:26 GMT 際際滷Share feed for 際際滷shows by User: DONDON2010 SDM Method https://es.slideshare.net/slideshow/sdm-method/59016142 proyecto-160303114726
In this project we present a semi-automatic method to obtain the 3D face geometry model of a specific person. We use one or more images of the person and adjust semi-automatically a deformable generic 3D face model to them. The adjustment is based on the matching of fiducial landmarks found on the face images to their corresponding control points in the graphical model. The fiducial landmarks are found on the image by a 2D face model alignment approach, which can be further refined manually, if required. Then, the graphical model is adjusted by an iterative approach in which local deformation and global fitting procedures are combined. Experimental results show that this method is robust and quick, obtaining user-specific 3D faces of good quality, compared to other alternatives such as face scanning, which can be used for tasks such as face tracking or the personalization of animated 3D avatars.]]>
In this project we present a semi-automatic method to obtain the 3D face geometry model of a specific person. We use one or more images of the person and adjust semi-automatically a deformable generic 3D face model to them. The adjustment is based on the matching of fiducial landmarks found on the face images to their corresponding control points in the graphical model. The fiducial landmarks are found on the image by a 2D face model alignment approach, which can be further refined manually, if required. Then, the graphical model is adjusted by an iterative approach in which local deformation and global fitting procedures are combined. Experimental results show that this method is robust and quick, obtaining user-specific 3D faces of good quality, compared to other alternatives such as face scanning, which can be used for tasks such as face tracking or the personalization of animated 3D avatars.]]> Thu, 03 Mar 2016 11:47:26 GMT https://es.slideshare.net/slideshow/sdm-method/59016142 DONDON2010@slideshare.net(DONDON2010) SDM Method DONDON2010 In this project we present a semi-automatic method to obtain the 3D face geometry model of a specific person. We use one or more images of the person and adjust semi-automatically a deformable generic 3D face model to them. The adjustment is based on the matching of fiducial landmarks found on the face images to their corresponding control points in the graphical model. The fiducial landmarks are found on the image by a 2D face model alignment approach, which can be further refined manually, if required. Then, the graphical model is adjusted by an iterative approach in which local deformation and global fitting procedures are combined. Experimental results show that this method is robust and quick, obtaining user-specific 3D faces of good quality, compared to other alternatives such as face scanning, which can be used for tasks such as face tracking or the personalization of animated 3D avatars. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/proyecto-160303114726-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this project we present a semi-automatic method to obtain the 3D face geometry model of a specific person. We use one or more images of the person and adjust semi-automatically a deformable generic 3D face model to them. The adjustment is based on the matching of fiducial landmarks found on the face images to their corresponding control points in the graphical model. The fiducial landmarks are found on the image by a 2D face model alignment approach, which can be further refined manually, if required. Then, the graphical model is adjusted by an iterative approach in which local deformation and global fitting procedures are combined. Experimental results show that this method is robust and quick, obtaining user-specific 3D faces of good quality, compared to other alternatives such as face scanning, which can be used for tasks such as face tracking or the personalization of animated 3D avatars.
from Lincoln Bowen
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]]> Wed, 01 Jul 2009 15:11:12 GMT https://es.slideshare.net/slideshow/vicioslenguaje/1670374 DONDON2010@slideshare.net(DONDON2010) Vicioslenguaje DONDON2010 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vicioslenguaje-090701151116-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
from Lincoln Bowen
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