@conference {12662, title = {A Factorization Method for Structure from Planar Motion}, booktitle = {Application of Computer Vision, 2005. WACV/MOTIONS {\textquoteright}05 Volume 1. Seventh IEEE Workshops on}, volume = {2}, year = {2005}, month = {2005/01//}, pages = {154 - 159}, abstract = {We propose a factorization method for structure from planar motion using a stationary perspective camera. Compared with [A factorization based algorithm for multi-image projective structure and motion] for general motion, our work has three major differences: a different measurement matrix specialized for planar motion is formed. The measurement matrix has a rank of at most 3, instead of 4; the measurement matrix needs similar scalings, but estimation of fundamental matrices or epipoles is not needed; we have an Euclidean reconstruction instead of a projective reconstruction. The camera is not required to be calibrated. A simple semi-automatic calibration method using vanishing points and lines is sufficient. Experimental results show that the algorithm is accurate and fairly robust to noise and inaccurate calibration.}, doi = {10.1109/ACVMOT.2005.4}, author = {Li,Jian and Chellapa, Rama} }