Title :
Optimal subpixel matching of contour chains and segments
Author :
Serra, Bruno ; Berthod, Marc
Author_Institution :
INRIA, Sophia-Antipolis, France
Abstract :
This paper introduces a new general purpose algorithm that allows the optimal geometric match between contours to be determined, that is the transformation yielding a minimal deformation is obtained. The algorithm relies only on the geometric properties of the contours and does not call for any other constraint, so that it is particularly suitable when no parameterization of title deformation is available or desirable. Contour deformation is explicitly incorporated in the computation, allowing for a thorough use of all geometric information available. Moreover, no discretization is involved in the computation, resulting in two main advantages: first, the algorithm is robust to differences in the segmentation of contours and allows the matching of polygonal approximations of contours with very little loss of precision, second, subpixel precision matching can be achieved
Keywords :
computational geometry; function approximation; image matching; image segmentation; contour chains; contour deformation; contour segmentation; contour segments; discretization; general purpose algorithm; geometric information; geometric properties; minimal deformation; optimal geometric match; optimal subpixel matching; parameterization; polygonal approximations; subpixel precision matching; Cost function; Displacement measurement; Dynamic programming; Heuristic algorithms; Position measurement; Shape;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466911