Abstract
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.
To whom all correspondence should be addressed. This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Blanz, V. and Vetter, T.: A morphable model for the synthesis of 3D faces. Proc. of SIGGRAPH’99, Los Angeles (1999) 187–194
Jones, M., Sinha, P., Vetter, T. and Poggio, T.: Top-down learning of low-level vision tasks[Brief communication]. Current Biology 7 (1997) 991–994
Kruger, N., Potzsch, M., von der Malsburg, C.: Determination of face position and pose with a learned representation based on labelled graphs. Image and Vision Computing 15 (1997) 665–673
Lanitis, A., Taylor, C. and Cootes, T.: Automatic interpretation and coding of face images using flexible models. IEEE Trans. on Pattern Anaysis and Machine Intelligence 19:7 (1997) 743–756
Press, W., Teukolsky, S., Vetterling, W. and Flannery, B.: Numerical reciples in C, Cambridge University Press, Port Chester, NY (1992)
Vetter, T. and Troje, N.: Separation of texture and shape in images of faces for image coding and synthesis. Journal of the Optical Society of America A 14:9 (1997) 2152–2161
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hwang, BW., Blanz, V., Vetter, T., Lee, SW. (2000). Face Reconstruction Using a Small Set of Feature Points. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_30
Download citation
DOI: https://doi.org/10.1007/3-540-45482-9_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67560-0
Online ISBN: 978-3-540-45482-3
eBook Packages: Springer Book Archive