Publications [#340119] of Shahar Kovalsky

Papers Published

1. Arie-Nachimson, M; Kovalsky, SZ; Kemelmacher-Shlizerman, I; Singer, A; Basri, R, Global motion estimation from point matches, Proceedings 2nd Joint 3dim/3dpvt Conference: 3d Imaging, Modeling, Processing, Visualization and Transmission, 3dimpvt 2012 (December, 2012), pp. 81-88, IEEE, ISBN 9780769548739 [doi]
   (last updated on 2020/07/31)

   Abstract:
   Multiview structure recovery from a collection of images requires the recovery of the positions and orientations of the cameras relative to a global coordinate system. Our approach recovers camera motion as a sequence of two global optimizations. First, pair wise Essential Matrices are used to recover the global rotations by applying robust optimization using either spectral or semi definite programming relaxations. Then, we directly employ feature correspondences across images to recover the global translation vectors using a linear algorithm based on a novel decomposition of the Essential Matrix. Our method is efficient and, as demonstrated in our experiments, achieves highly accurate results on collections of real images for which ground truth measurements are available. © 2012 IEEE.