Presentation 1996/11/22
An Object Recognition System Based on a Model Generated from Image Examples : Model description based on contour information
Takashi SHIRAKATA, Daisaku ARITA, Naoyuki TSURUTA, Rin-ichiro TANIGICHI,
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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 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) object recognition / model description / model matching / contour information
Paper # PRMU96-93
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Conference Information
Committee PRMU
Conference Date 1996/11/22(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Object Recognition System Based on a Model Generated from Image Examples : Model description based on contour information
Sub Title (in English)
Keyword(1) object recognition
Keyword(2) model description
Keyword(3) model matching
Keyword(4) contour information
1st Author's Name Takashi SHIRAKATA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name Daisaku ARITA
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Naoyuki TSURUTA
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
4th Author's Name Rin-ichiro TANIGICHI
4th Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
Date 1996/11/22
Paper # PRMU96-93
Volume (vol) vol.96
Number (no) 385
Page pp.pp.-
#Pages 8
Date of Issue