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Issue No.10 - October (2000 vol.22)
pp: 1105-1116
ABSTRACT
<p><b>Abstract</b>—Traditional plane alignment techniques are typically performed between <it>pairs</it> of frames. In this paper, we present a method for extending existing two-frame planar motion estimation techniques into a <it>simultaneous multi-frame</it> estimation, by exploiting multi-frame subspace constraints of planar surfaces. The paper has three main contributions: 1) 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; 2) we show that the <it>relative</it> image motion of multiple planar surfaces across multiple frames is embedded in a yet <it>lower</it> dimensional linear subspace, even with varying camera calibration; and 3) 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 more constrained than the individual two-frame estimations, leading to more accurate alignment, even when applied to small image regions.</p>
INDEX TERMS
Motion estimation, plane alignment, multi-frame analysis, gradient-based methods.
CITATION
Lihi Zelnik-Manor, Michal Irani, "Multi-Frame Estimation of Planar Motion", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.22, no. 10, pp. 1105-1116, October 2000, doi:10.1109/34.879791
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