Displacement and rotation estimation by cluster matching

The article presents a modified approach to cluster based matching. Each cluster from one image is matched with the one taken from the other image. The clusters are described by feature vectors which are used to guide matching process based on optimization. As a result of matching a motion estimation in the image scene is obtained. The proposed modification of the feature vector consists in the introduction of shape descriptors.