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.
|ジャーナル||Proceedings - International Conference on Image Processing, ICIP|
|出版ステータス||出版済み - 1994|
|イベント||Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA|
継続期間: 11 13 1994 → 11 16 1994
All Science Journal Classification (ASJC) codes
- コンピュータ ビジョンおよびパターン認識