Feature matching and pose estimation using newton iteration

Authors:
Hongdong Li;Richard Hartley
Affiliations:
Research School of Information Sciences and Engineering, The Australian National University, ASSeT, Canberra Research Labs, National ICT Australia;Research School of Information Sciences and Engineering, The Australian National University, ASSeT, Canberra Research Labs, National ICT Australia
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

Feature matching and pose estimation are two crucial tasks in computer vision. The widely adopted scheme is first find the correct matches then estimate the transformation parameters. Unfortunately, such simple scheme does not work well sometimes, because these two tasks of matching and estimation are mutually interlocked. This paper proposes a new method that is able to estimate the transformation and find the correct matches simultaneously. The above interlock is disentangled by an alternating Newton iteration method. We formulate the problem as a nearest-matrix problem, and provide a different numerical technique. Experiments on both synthetic and real images gave good results. Fast global convergence was obtained without the need of good initial guess.