Abstract
Shape from shading (SFS) is an important research domain in the Computer Vision, in which the technology making use of the change in image brightness of an object to determine the relative surface depth receives a lot of attention. Now many algorithms have been developed to perform the goal, especially the model-based symmetric Shape-from-Shading approach presented by Zhao works well, but the symmetry supposition limits the application of the approach. In order to get rid of the limit, we have improved the traditional Jacobi’s iterative method by making use of the brightness constraint and the smoothness constraint to implement the face 3D surface reconstruct, and we have gave the synthesis of the prototype image under the single frontal light source to verify the validity of the algorithm.
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Feng, L., Lai, J., Zhang, L. (2004). 3D Surface Reconstruction Based on One Non-symmetric Face Image. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_31
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DOI: https://doi.org/10.1007/978-3-540-30548-4_31
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