Generation of hierarchical object models for image recognition

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

Research output: Contribution to journalArticlepeer-review


An object recognition system is presented that generates object models from image examples. It also searches for and recognizes objects in images, using the object models. An object model is described by segmented regions and the hierarchical relations between them. The system generates one object model from one image example and compares the two to generate a more general object model. This paper describes a method for describing an object model and generating it from a series of image examples, and searching for an object in an image. Also shown are results of an experiment to verify proper system operation.

Original languageEnglish
Pages (from-to)1240-1248
Number of pages9
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Issue number8
Publication statusPublished - 1997

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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