In computer vision research field shape matching plays a central role. A typical approach is based on the analysis of contour points of the objects. In many cases this task is faced by taking into account a contour subset made up by dominant points. This paper is based on a shape matching technique described in [1] by using dominant points as contour points set. In order to obtain better results we adopt modified shape descriptors (shape contexts) by getting rotational invariance. Experimental results demonstrate the accuracy improvement and the computational time reduction.
ACO contour matching: a dominant point approach
DI RUBERTO, CECILIA;MORGERA, ANDREA
2011-01-01
Abstract
In computer vision research field shape matching plays a central role. A typical approach is based on the analysis of contour points of the objects. In many cases this task is faced by taking into account a contour subset made up by dominant points. This paper is based on a shape matching technique described in [1] by using dominant points as contour points set. In order to obtain better results we adopt modified shape descriptors (shape contexts) by getting rotational invariance. Experimental results demonstrate the accuracy improvement and the computational time reduction.
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