Memoirs of the Faculty of Engineering, Okayama University 40巻 1号
2006-01 発行
菅谷 保之
Department of Computer Science, Okayama University
Hanno Ackermann
Department of Computer Science, Okayama University
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, which we call a 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.