The Journal of The Institute of Image Information and Television Engineers
Online ISSN : 1881-6908
Print ISSN : 1342-6907
ISSN-L : 1342-6907
Generation of Hierarchical Object Models for Image Recognition
Daisaku AritaNaoyuki TsurutaRin-ichiro TaniguchiMakoto Amamiya
Author information
JOURNAL FREE ACCESS

1997 Volume 51 Issue 8 Pages 1240-1248

Details
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.
Content from these authors
© The Institute of Image Information and Television Engineers
Previous article Next article
feedback
Top