Point Matching Under Large Image Deformations and Illumination Changes
Bogdan Georgescu(1) and Peter Meer(1,2)
(1)Department of Computer Science
(2)Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08854, USA
To solve the general point correspondence problem in which
the underlying transformation between image patches is represented
by a homography, a solution based on extensive use of first order
differential techniques is proposed.
We integrate in a single robust M-estimation framework the traditional
optical flow method and matching of local color distributions.
These distributions are computed with spatially oriented kernels
in the 5D joint spatial/color space.
The estimation process is initiated at the third level
of a Gaussian pyramid, uses only local information, and
the illumination changes between the two images are also taken
into account. Subpixel matching accuracy is
achieved under large projective distortions significantly
exceeding the performance of any of the two components
alone. As an application the correspondence algorithm is
employed in oriented tracking of objects.
