Learning novel views to a single face image
- 24 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 715-719
- https://doi.org/10.1109/afgr.1996.557239
Abstract
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 prior knowledge of faces based on example images of other faces seen in different poses and on a single generic 3D model of a human head. 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 degree based on a training set of 100 faces are shown.Keywords
This publication has 6 references indexed in Scilit:
- Face recognition from one example viewPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Active Shape Models-Their Training and ApplicationComputer Vision and Image Understanding, 1995
- Structural aspects of face recognition and the other-race effectMemory & Cognition, 1994
- A Novel Approach to GraphicsPublished by Defense Technical Information Center (DTIC) ,1992
- Parameterising Images for Recognition and ReconstructionPublished by British Machine Vision Association and Society for Pattern Recognition ,1991
- The Laplacian Pyramid as a Compact Image CodeIEEE Transactions on Communications, 1983