An object recognition system generating object models from image examples - Model description based on contour information

Daisaku Arita, Takashi Shirakata, Naoyuki Tsuruta, Rin Ichiro Taniguchi, Makoto Amamiya

Research output: Contribution to journalArticle


We have been developing an image recognition system which has an ability to automatically acquire a model of an object class from image examples. The model is described in hierarchical relationship of segmented regions and 2-D features of the regions. The system generates a model according to the correspondence among regions of the segmentation trees. In this paper, we will discuss new model description based on contour information of the regions.

Original languageEnglish
Pages (from-to)87-92
Number of pages6
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Issue number1
Publication statusPublished - Mar 1 1997


All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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