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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Uncalibrated Factorization Using a Variable Symmetric Affine Camera
verfasst von : Kenichi Kanatani, Yasuyuki Sugaya, Hanno Ackermann
Erschienen in: Computer Vision – ECCV 2006
Verlag: Springer Berlin Heidelberg
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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.