@inproceedings{e9363f4c2b1f422ca71f75593561d725,
title = "Registration of joint geometric and radiometric image deformations",
abstract = "We consider the problem of object registration where the observation and template differ both geometrically and radiometrically. The type of radiometric deformations we consider falls into the general framework of color constancy, and the geometric deformations are affine. Since the registration procedure employs the intensity information in both the template and observation, a solution to the color constancy problemhave to be established jointly with a solution to the problem of estimating the geometric transformation. We show that the original high-dimensional nonconvex search problem, that needs to be solved in order to register the observation to the template, can be replaced by an equivalent problem, expressed in terms of a sequence of two linear systems of equations. A solution to this sequence provides an exact solution to the registration problem.",
keywords = "Computer vision, Image registration, Multidimensional signal processing, Nonlinear parameter estimation",
author = "Kovalsky, \{Shahar Z.\} and Rami Hagege and Francos, \{Joseph M.\}",
year = "2007",
month = dec,
day = "1",
language = "English",
isbn = "9780889866751",
series = "Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007",
pages = "496--499",
booktitle = "Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007",
note = "9th IASTED International Conference on Signal and Image Processing, SIP 2007 ; Conference date: 20-08-2007 Through 22-08-2007",
}