Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-03-05 16:40
A Basic Study on Automated Data Labeling for Machine Learning-based Local Image Features Matcher
Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2020-101
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, local feature extraction and making correspondence methods based on machine learning have been proposed.
However, it is very difficult to manually annotate the correct correspondence of local feature points for machine learning.
In addition, simple geometric constraints are not sufficient to avoid false correspondence.
Here, we have proposed the distance between in-vehicle camera images based on epipolar geometry and the property of vehicle movement.
This report presents the results of a basic study on a method for automatic labeling method of high-quality learning data based on the above constraints.
Keyword (in Japanese) (See Japanese page) 
(in English) local feature / automatic data labeling / epipolar geometry / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 409, PRMU2020-101, pp. 181-186, March 2021.
Paper # PRMU2020-101 
Date of Issue 2021-02-25 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2020-101

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Vision and Pattern Recognition for specific environment 
Paper Information
Registration To PRMU 
Conference Code 2021-03-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Basic Study on Automated Data Labeling for Machine Learning-based Local Image Features Matcher 
Sub Title (in English)  
Keyword(1) local feature  
Keyword(2) automatic data labeling  
Keyword(3) epipolar geometry  
Keyword(4) machine learning  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Haruya Kyutoku  
1st Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
2nd Author's Name Tokihiko Akita  
2nd Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
3rd Author's Name Seiichi Mita  
3rd Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2021-03-05 16:40:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-101 
Volume (vol) vol.120 
Number (no) no.409 
Page pp.181-186 
#Pages 6 
Date of Issue 2021-02-25 (PRMU) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan