A model generation method for object recognition task by pictorial examples
Daisaku Arita, Naoyuki Tsuruta, R. Taniguchi, Makoto Amamiya · 2002
In this paper, we describe a method to construct automatically, from a series of images of objects, a model of an object class. The model is described by a set of 2 dimensional features of segmented regions and the relations among them. To make models of objects, we introduce the concept of the segmentation tree-which represents image segmentation at various levels of abstraction-and also a model generation method based on a series of segmentation trees. Using this segmentation tree, we can cope with the problem of diversity of segmentation patterns and can easily make stable object-models.>