A Practical Method for Decomposition of the Essential Matrix
نویسندگان
چکیده
Abstract One well-known approach for reconstruction of a 3D object from two images obtained by calibrated cameras is based on the essential matrix computation. The extrinsic camera parameters can be found by decomposing the essential matrix into skew-symmetric and rotation parts, and then the reconstruction problem can be solved by triangulation. In this paper we present a direct way for such a decomposition based only on the operations with the vector-rows of the essential matrix. The obtained new identities for scalar products of these vector-rows are naturally integrated in a 3D reconstruction scheme.
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تاریخ انتشار 2014