Abstract
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 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° based on a training set of 100 faces are shown.
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References
Bergen, J., Anandan, P., Hanna, K., and Hingorani, R. (1992). Hierarchical model-based motion estimation. In Proceedings of the European Conference on Computer Vision, pages 237’252, Santa Margherita Ligure, Italy.
Bergen, J. and Hingorani, R. (1990). Hierarchical motion-based frame rate conversion. Technical report, David Sarnoff Research Center Princeton NJ 08540.
Beymer and Poggio, 1995] Beymer, D. and Poggio, T. (1995). Face recognition from one model view. In Proceedings of the 5th International Conference on Computer Vision
Beymer, D., Shashua, A., and Poggio, T. (1993). Example-based image analysis and synthesis. A.I. Memo No. 1431, Artificial Intelligence Laboratory, Massachusetts Institute of Technology.
Cootes, T., Taylor, C., Cooper, D., and Graham, J. (1995). Active shape models — their training and application. Computer Vision and Image Understanding, 60: 38’59.
Craw, I. and Cameron, P. (1991). Parameterizing images for recognition and reconstruction. Proc. British Machine Vision Conference, pages 367’370.
O’Toole, A., Deffenbacher, K., Valentin, D., and Abdi, H. (1994). Structural aspects of face recognition and the other-race effect. Memory and Cognition, 22: 208’224.
Poggio, T. and Brunelli, R. (1992). A novel approach to graphics. Technical report 1354, MIT Media Laboratory Perceptual Computing Section.
Vetter, T. and Poggio, T. (1996). Image synthesis from a single example image. In Buxton, B. and Cippola, R., editors, Computer Vision - ECCV’96, Cambridge UK. Springer, Lecture Notes in Computer Science 1064.
Vetter and Troje, 1995] Vetter, T. and Troje, N. (1995). Separation of texture and two-dimensional shape in images of human faces. In G. Sagerer, S. P. F. K., editor, Mustererkennung 1995, Springer.
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© 1996 Springer-Verlag Berlin Heidelberg
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Vetter, T. (1996). Novel views of a single face image. In: Jähne, B., Geißler, P., Haußecker, H., Hering, F. (eds) Mustererkennung 1996. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80294-2_17
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DOI: https://doi.org/10.1007/978-3-642-80294-2_17
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