Open AccessSingle‐camera pose estimation using mirage
Author(s) -
Singhirunnusorn Khomsun,
Fahimi Farbod,
Aygun Ramazan
Publication year - 2018
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2017.0407
Subject(s) - computer science , pose , artificial intelligence , computer vision , single camera , rank (graph theory) , perspective (graphical) , linear system , algorithm , mathematics , mathematical analysis , combinatorics
Recently, mirage pose estimation method was proposed for multi‐camera systems. Multi‐camera mirage analytically solves a system of linear equations for six pose parameters in O( n ) time. Mirage promises to execute in real time with high accuracy and shows lower rotational and translational errors compared to eight other well‐known perspective‐n‐points (PnP) methods. However, the simulated tests and real experiments showed that, in case of a single camera, the analytical system of linear equations is not solvable due to the reduced rank of the linear system that is obtained by the formulation. In this study, an important revision to mirage is proposed to support single camera systems properly. The results of simulations and real experiments demonstrate smaller pose estimation errors compared to a group of eight well‐known state‐of‐the‐art PnP methods.