Generation of hierarchical object models for image recognition

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

doi:10.3169/itej.51.1240

Generation of hierarchical object models for image recognition

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

Real world robotics

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	1240-1248
Number of pages	9
Journal	Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume	51
Issue number	8
DOIs	https://doi.org/10.3169/itej.51.1240
Publication status	Published - 1997

All Science Journal Classification (ASJC) codes

Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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year = "1997",

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AU - Amamiya, Makoto

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Generation of hierarchical object models for image recognition

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