Visual Odometry for Non-overlapping Views Using Second-Order Cone Programming
We present a solution for motion estimation for a set of cameras which are firmly mounted on a head unit and do not have overlapping views in each image. This problem relates to ego-motion estimation of multiple cameras, or visual odometry. We reduce motion estimation to solving a triangulation problem, which finds a point in space from multiple views. The optimal solution of the triangulation problem in L-infinity norm is found using SOCP (Second-Order Cone Programming) Consequently, with the...[Show more]
|Collections||ANU Research Publications|
|Source:||Computer Vision - Proceedings of the 8th Asian Conference on Computer Vision (ACCV 2007)|
|01_Kim_Visual_Odometry_for_2007.pdf||3.39 MB||Adobe PDF||Request a copy|
|02_Kim_Visual_Odometry_for_2007.pdf||141.48 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.