Presentation | 1996/10/28 Image Segmentation for 3D Object Recognition Based on the Bidirectional Processing Toshifumi Fujita, Hiroshi Ando, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The difficulty of 3D object recognition lies in the fact that the retinal image varies significantly when the viewpoint changes or the relative position of multiple objects changes. The human brain may achieve 3D object recognition in the complex real scene using multiple functional modules communicating each other. This paper proposes a 3D object recognition model which integrates the image segmentation and the correspondence estimation based on the bidirectional processing. The model can cope with both the view variation and the multiple objects occluding each other in the image. We evaluated the performance of the proposed model through computer experiments using gray-level images of 3D objects. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3D object recognition / Bidirectional processing / Segmentation / Alignment |
Paper # | NC96-46 |
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Committee | NC |
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Conference Date | 1996/10/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image Segmentation for 3D Object Recognition Based on the Bidirectional Processing |
Sub Title (in English) | |
Keyword(1) | 3D object recognition |
Keyword(2) | Bidirectional processing |
Keyword(3) | Segmentation |
Keyword(4) | Alignment |
1st Author's Name | Toshifumi Fujita |
1st Author's Affiliation | ATR Human Information Processing Research Laboratories() |
2nd Author's Name | Hiroshi Ando |
2nd Author's Affiliation | ATR Human Information Processing Research Laboratories |
Date | 1996/10/28 |
Paper # | NC96-46 |
Volume (vol) | vol.96 |
Number (no) | 331 |
Page | pp.pp.- |
#Pages | 8 |
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