Presentation 1997/7/24
An Image Recognition System with Hierarchical Object Models : An Object Recognition Method based on Shape Features of Object Regions
Daisaku ARITA, Naoyuki TSURUTA, Rin-ichiro TANIGICHI, Makoto AMAMIYA,
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Abstract(in English) 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 relationships of segmented regions and 2-D features of the regions. The problem in searching an object region from a given image is that region segmentation consumes much time and often causes undesirable results when its background is not clearly distinguishable from the object. In this paper, we propose a new method to extract object regions from an edge image using shape features of object regions.
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Keyword(in English) object recognition / knowledge acquisition / shape features of object region / region extraction from edge
Paper # MVE97-54
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Committee MVE
Conference Date 1997/7/24(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Image Recognition System with Hierarchical Object Models : An Object Recognition Method based on Shape Features of Object Regions
Sub Title (in English)
Keyword(1) object recognition
Keyword(2) knowledge acquisition
Keyword(3) shape features of object region
Keyword(4) region extraction from edge
1st Author's Name Daisaku ARITA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name Naoyuki TSURUTA
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Rin-ichiro TANIGICHI
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
4th Author's Name Makoto AMAMIYA
4th Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
Date 1997/7/24
Paper # MVE97-54
Volume (vol) vol.97
Number (no) 206
Page pp.pp.-
#Pages 8
Date of Issue