Multi-Frame Alignment of Planes

Traditional plane alignment techniques are typically performed between pairs of frames. In this paper we present a method for extending existing two-frame planar-motion estimation techniques into a simultaneous multi-frame estimation, by exploiting multi-frame geometric constraints of planar surfaces. The paper has three main contributions: (i) we show that when the camera calibration does not change, the collection of all parametric image motions of a planar surface in the scene across multiple frames is embedded in a low dimensional linear subspace (ii) we show that the relative image motion of multiple planar surfaces across multiple frames is embedded in a yet lower dimensional linear subspace, even with varying camera calibration and (iii) we show how these multi-frame constraints can be incorporated into simultaneous multi-frame estimation of planar motion, without explicitly recovering any 3D information, or camera calibration. The resulting multi-frame estimation process is mo...

• Type: Conference
• Year: 1999
• Where: CVPR
• Authors: Lihi Zelnik-Manor, Michal Irani
• Keywords: Camera Calibration, Computer Vision, CVPR 1999, Dimensional Linear Subspace, Multiple Planar Surfaces, Planar Motion, Simultaneous Multi-frame Estimation