ausblenden:
Schlagwörter:
-
Zusammenfassung:
Images formed by a human face change with viewpoint. A new technique
is described for synthesizing images of faces from new viewpoints,
when only a single 2D image is available. A novel 2D image of a face
can be computed without knowledge about the 3D structure of the
head. The technique draws on a single generic 3D model of a human head
and on prior knowledge of faces based on example images of other faces
seen in different poses. The example images are used to ``learn'' a
pose-invariant shape and texture description of a new face. The 3D
model is used to solve the correspondence problem between images
showing faces in different poses. Examples of synthetic ``rotations''
over 24 degrees based on a training set of 100 faces are shown.
