A model generation method for object recognition task by pictorial examples

D. Arita, N. Tsuruta, R. Taniguchi, M. Amamiya

研究成果: Contribution to journalConference article査読

2 被引用数 (Scopus)

抄録

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.

本文言語英語
論文番号413310
ページ(範囲)233-237
ページ数5
ジャーナルProceedings - International Conference on Image Processing, ICIP
1
DOI
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 199411 16 1994

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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