Abstract
We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a well-posed problem. Furthermore, this does not require any training data and eliminates the need to pre-align the reference shape with the one to be reconstructed, as was done in earlier methods.
This work was supported in part by the Swiss National Science Foundation.
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Östlund, J., Varol, A., Ngo, D.T., Fua, P. (2012). Laplacian Meshes for Monocular 3D Shape Recovery. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds) Computer Vision – ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, vol 7574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33712-3_30
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DOI: https://doi.org/10.1007/978-3-642-33712-3_30
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