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Joint geometric and photometric direct image registration based on Lie algebra parameterization
2016
Infrared Technology and Applications, and Robot Sensing and Advanced Control
In this paper, we consider direct image registration problem which estimate the geometric and photometric transformations between two images. The efficient second-order minimization method (ESM) is based on a second-order Taylor series of image differences without computing the Hessian under brightness constancy assumption. This can be done due to the fact that the considered geometric transformations is Lie group and can be parameterized by its Lie algebra. In order to deal with lighting
doi:10.1117/12.2246720
fatcat:wpmojq3rqncwvnucht6i2byope