TY - GEN
T1 - Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D morphable models
AU - Kaiser, Moritz
AU - Heym, Gernot
AU - Lehment, Nicolas
AU - Arsić, Dejan
AU - Rigoll, Gerhard
PY - 2011
Y1 - 2011
N2 - In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The correspondences can be employed for various face processing applications, for example for building up a 3D Morphable Model (3DMM). Paths connecting landmarks are traced on the 3D facial surface and the resulting patches are mapped into a uv-space. Triangle quadrisection is used to build up remeshes with high point density for each 3D facial surface. Each vertex of a remesh has one corresponding vertex in another remesh and all remeshes have the same connectivity. The quality of the point-to-point correspondences is demonstrated on the bases of two applications, namely morphing and constructing a 3DMM.
AB - In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The correspondences can be employed for various face processing applications, for example for building up a 3D Morphable Model (3DMM). Paths connecting landmarks are traced on the 3D facial surface and the resulting patches are mapped into a uv-space. Triangle quadrisection is used to build up remeshes with high point density for each 3D facial surface. Each vertex of a remesh has one corresponding vertex in another remesh and all remeshes have the same connectivity. The quality of the point-to-point correspondences is demonstrated on the bases of two applications, namely morphing and constructing a 3DMM.
UR - http://www.scopus.com/inward/record.url?scp=79952505525&partnerID=8YFLogxK
U2 - 10.1109/WACV.2011.5711481
DO - 10.1109/WACV.2011.5711481
M3 - Conference contribution
AN - SCOPUS:79952505525
SN - 9781424494965
T3 - 2011 IEEE Workshop on Applications of Computer Vision, WACV 2011
SP - 39
EP - 44
BT - 2011 IEEE Workshop on Applications of Computer Vision, WACV 2011
PB - IEEE Computer Society
ER -