Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Two main results are established in this paper. First, we show that seven point correspondences are sufficient to uniquely determine from two perspective views the three-dimensional motion parameters (within a scale factor for the translations) of a rigid object with curved surfaces. The seven points should not be traversed by two planes with one plane containing the origin, nor by a cone containing the origin. Second, a set of “essential parameters” are introduced which uniquely determine the motion parameters up to a scale factor for the translations, and can be estimated by solving a set of linear equations which are derived from the correspondences of eight image points. The actual motion parameters can subsequently be determined by computing the singular value decomposition (SVD) of a 3 × 3 matrix containing the essential parameters. © 1984 IEEE.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
George Manias, Dimitris Apostolopoulos, et al.
DCOSS-IoT 2023
Merve Unuvar, Yurdaer Doganata, et al.
CLOUD 2014
Rie Kubota Ando
CoNLL 2006