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      Quadratic Pose Estimation Problems: Globally Optimal Solutions, Solvability/Observability Analysis, and Uncertainty Description

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          A method for registration of 3-D shapes

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            Least-squares fitting of two 3-d point sets.

            Two point sets {pi} and {p'i}; i = 1, 2,..., N are related by p'i = Rpi + T + Ni, where R is a rotation matrix, T a translation vector, and Ni a noise vector. Given {pi} and {p'i}, we present an algorithm for finding the least-squares solution of R and T, which is based on the singular value decomposition (SVD) of a 3 × 3 matrix. This new algorithm is compared to two earlier algorithms with respect to computer time requirements.
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              EPnP: An Accurate O(n) Solution to the PnP Problem

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                Author and article information

                Contributors
                Journal
                IEEE Transactions on Robotics
                IEEE Trans. Robot.
                Institute of Electrical and Electronics Engineers (IEEE)
                1552-3098
                1941-0468
                October 2022
                October 2022
                : 38
                : 5
                : 3314-3335
                Affiliations
                [1 ]Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
                [2 ]Tencent Robotics X, Shenzhen, China
                [3 ]School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
                [4 ]Department of Biomedical Engineering, College of Science and Engineering, City University of Hong Kong, Hong Kong
                Article
                10.1109/TRO.2022.3155880
                792fcb62-5f63-4122-8a2d-9967fe4c2e44
                © 2022

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                History

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