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Recovering camera motion using L∞ minimization

Date

Authors

Sim, Kristy

Hartley, Richard

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Recently, there has been interest in formulating various geometric problems in Computer Vision as L ∞ optimization problems. The advantage of this approach is that under L ∞ norm, such problems typically have a single minimum, and may he efficiently s

Keywords

Keywords: Covariances; Optimization framework; Second-Order Cone Programming (SOCP); Anisotropy; Cameras; Computer vision; Parameter estimation; Problem solving; Uncertain systems; Motion estimation

URI

http://hdl.handle.net/1885/30990

Collections

ANU Research Publications

Source

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Type

Conference paper

DOI

10.1109/CVPR.2006.247

Restricted until

2037-12-31

Downloads

File

Description

01_Sim_Recovering_camera_motion_using_2006.pdf (671.82 KB)