Title
Minimal Solutions for Pose Estimation of a Multi-Camera System
Abstract
In this paper, we propose a novel formulation to solve the pose estimation problem of a calibrated multi-camera system. The non-central rays that pass through the 3D world points and multi-camera system are elegantly represented as Plucker lines. This allows us to solve for the depth of the points along the Plucker lines with a minimal set of 3-point correspondences. We show that the minimal solution for the depth of the points along the Plucker lines is an 8 degree polynomial that gives up to 8 real solutions. The coordinates of the 3D world points in the multi-camera frame are computed from the known depths. Consequently, the pose of the multi-camera system, i.e. the rigid transformation between the world and multi-camera frames can be obtained from absolute orientation. We also derive a closed-form minimal solution for the absolute orientation. This removes the need for the computationally expensive Singular Value Decompositions (SVD) during the evaluations of the possible solutions for the depths. We identify the correct solution and do robust estimation with RANSAC. Finally, the solution is further refined by including all the inlier correspondences in a non-linear refinement step. We verify our approach by showing comparisons with other existing approaches and results from large-scale real-world datasets.
Year
DOI
Venue
2013
10.1007/978-3-319-28872-7_30
Springer Tracts in Advanced Robotics
Field
DocType
Volume
Plucker,Reprojection error,Singular value decomposition,Computer science,RANSAC,3D pose estimation,Degree of a polynomial,Rigid transformation,Algorithm,Control engineering,Pose
Conference
114
ISSN
Citations 
PageRank 
1610-7438
7
0.43
References 
Authors
12
4
Name
Order
Citations
PageRank
Lee Gim Hee137231.21
Bo Li21729.79
Marc Pollefeys37671475.90
Friedrich Fraundorfer470.43