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Paper Abstract and Keywords
Presentation 2019-03-01 09:30
Point cloud deep learning for estimating 3-D rigid body transformation
Yukihiro Toda, Naoya Chiba, Koichi Hashimoto (Tohoku Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) 6D pose estimation is an important task in the research field of robot vision. Pose estimation is used in picking task in industrial scene.
Not only 2D image processing but 3D object recognition, deep learning method has been developed. Some dataset of 3D models which is made for classification or segmentation task is released. These datasets contain multiple object but single object, target of picking, isn't contained. In pose estimation task, dataset of scene consisting of the target object is necessary.
In this paper we design a neural network for pose estimation and a system generating dataset to feed the network.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D Point Cloud / Deep Learning / Computer Vision / Point Cloud Deep Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 459, PRMU2018-123, pp. 49-52, Feb. 2019.
Paper # PRMU2018-123 
Date of Issue 2019-02-21 (PRMU, CNR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee PRMU CNR  
Conference Date 2019-02-28 - 2019-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2019-02-PRMU-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Point cloud deep learning for estimating 3-D rigid body transformation 
Sub Title (in English)  
Keyword(1) 3D Point Cloud  
Keyword(2) Deep Learning  
Keyword(3) Computer Vision  
Keyword(4) Point Cloud Deep Learning  
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1st Author's Name Yukihiro Toda  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Naoya Chiba  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Koichi Hashimoto  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker
Date Time 2019-03-01 09:30:00 
Presentation Time 15 
Registration for PRMU 
Paper # IEICE-PRMU2018-123,IEICE-CNR2018-46 
Volume (vol) IEICE-118 
Number (no) no.459(PRMU), no.460(CNR) 
Page pp.49-52 
#Pages IEICE-4 
Date of Issue IEICE-PRMU-2019-02-21,IEICE-CNR-2019-02-21 


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