TY - GEN
T1 - Registration of geometric deformations in the presence of varying illumination
AU - Frenkel, Roy M.
AU - Francos, Joseph M.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - We address the problem of object registration when the observation differs from the object both geometrically and radiometrically. The geometric deformations being considered are affine. The radiometric deformations are due to the a-priori lack of knowledge regarding the locations and intensities of the light sources. Hence, to solve the registration problem, a joint solution for the radiometric and the geometric deformations must be offered. A direct approach for solving the joint registration problem as an optimization problem leads to a high-dimensional non-convex search problem. In this paper, we treat the images as vector valued measurements, such that each element of the vector provides the intensity at a specific spectral (color) band. By applying a set of operators, derived in the paper, to the vector valued data the original high-dimensional search problem is replaced by an equivalent problem, expressed in terms of two systems of linear equations. Their solution provides an exact solution to the joint problem.
AB - We address the problem of object registration when the observation differs from the object both geometrically and radiometrically. The geometric deformations being considered are affine. The radiometric deformations are due to the a-priori lack of knowledge regarding the locations and intensities of the light sources. Hence, to solve the registration problem, a joint solution for the radiometric and the geometric deformations must be offered. A direct approach for solving the joint registration problem as an optimization problem leads to a high-dimensional non-convex search problem. In this paper, we treat the images as vector valued measurements, such that each element of the vector provides the intensity at a specific spectral (color) band. By applying a set of operators, derived in the paper, to the vector valued data the original high-dimensional search problem is replaced by an equivalent problem, expressed in terms of two systems of linear equations. Their solution provides an exact solution to the joint problem.
KW - Image recognition
KW - Image registration
KW - Multidimensional signal processing
KW - Nonlinear estimation
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=48149100955&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2007.4379353
DO - 10.1109/ICIP.2007.4379353
M3 - Conference contribution
AN - SCOPUS:48149100955
SN - 1424414377
SN - 9781424414376
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - III489-III492
BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
T2 - 14th IEEE International Conference on Image Processing, ICIP 2007
Y2 - 16 September 2007 through 19 September 2007
ER -