Abstract
In order to reconstruct 3-D Euclidean shape by the Tomasi-Kanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and paraperspective. We present a new method that does not require any such specific models. We show that a minimal requirement for an affine camera to mimic perspective projection leads to a unique camera model, called symmetric affine camera, which has two free functions. We determine their values from input images by linear computation and demonstrate by experiments that an appropriate camera model is automatically selected.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kanatani, K., Sugaya, Y., Ackermann, H. (2006). Uncalibrated Factorization Using a Variable Symmetric Affine Camera. In: Leonardis, A., Bischof, H., Pinz, A. (eds) Computer Vision – ECCV 2006. ECCV 2006. Lecture Notes in Computer Science, vol 3954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11744085_12
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DOI: https://doi.org/10.1007/11744085_12
Publisher Name: Springer, Berlin, Heidelberg
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