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.
|Number of pages||5|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|Publication status||Published - 1994|
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing