Abstract
This paper describes work aimed at developing a practical scheme for face analysis using shape-from-shading. Existing methods have a tendency to recover surfaces in which convex features such as the nose are imploded. This is a result of the fact that subtle changes in the elements of the field of surface normals can cause significant changes in the corresponding integrated surface. To overcome this problem, in this paper we describe a local-shape based method for imposing convexity constraints. We show how to modifying the orientations in the surface gradient field using critical points on the surface and local shape indicators. The method is applied to both surface height recovery and face re-illumination, resulting in a clear improvement.
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Atick, J., Griffin, P., Redlich, N.: Statistical Approach to Shape from Shading: Reconstruction of Three-Dimensional Face Surfaces from Single Two-Dimensional Images. Neural Computation 8, 1321–1340 (1996)
Besl, P.J., Jain, R.C.: Invariant surface characteristics for 3-d object recognition in range images. In: Comput. Vision Graphics Image Proc., vol. 33, pp. 33–80 (1986)
Dovgard, R., Basri, R.: Statistical symmetric shape from shading for 3D structure recovery of faces. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3022, pp. 99–113. Springer, Heidelberg (2004)
Forsythe, D., Ponce, J.: Computer Vision: a Modern Approach. Prentice-Hall, Englewood Cliffs (2001)
Frankot, R.T., Chellapa, R.: A Method for Enforcing Integrability in Shape from Shading Algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence 10(4), 438–451 (1988)
Horn, B.K.P., Brooks, M.J.: Shape from Shading. MIT Press, Cambridge (1989)
Koenderink, J.J., Van Doorn, A.J.: Surface Shape and Curvature Scales. Image en Vision Computing 10, 557–565 (1992)
Prados, E., Faugeras, O.: A rigorous and realistic Shape From Shading method and some of its application. INRIA Research Report, RR-5133 (March 2004)
Worthington, P.L., Hancock, E.R.: New Constraints on Data-closeness and Needle Map Consistency for Shape-from-shading. IEEE Trans. on Pattern Analysis and Machine Intelligence 21(12), 1250–1267 (1999)
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Castelán, M., Hancock, E.R. (2005). Improved Face Shape Recovery and Re-illumination Using Convexity Constraints. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_60
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DOI: https://doi.org/10.1007/11553595_60
Publisher Name: Springer, Berlin, Heidelberg
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