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Paper Abstract and Keywords
Presentation 2024-01-25 10:03
Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images
Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40
Abstract (in Japanese) (See Japanese page) 
(in English) This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects in a virtual/mixed reality space. Deep learning is effective for estimating the 3D coordinates of fingertips from hand images, but a large amount of data collection is required to construct an estimation model with high accuracy and generalization performance. We compared an estimation model, which is based on a pre-trained model using contrastive learning and fine-tuned with supervised learning using a small amount of hand images, with an estimation model constructed using supervised learning without contrastive learning and evaluated the estimation accuracy of each. We adopted SimCLR as the architecture for contrastive learning and performed representation learning by augmenting the original data with random transformations of image size and contrast. We used the performance of estimation from palm images which include fingertips as a baseline , and compared it with the performance of estimation from images of the back of hand where the fingertips are hidden. From the results, we have clarified the potential for improving estimation accuracy using a model that employs representation learning, as well as the challenges to be addressed in the future.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D User Interface / Image Recognition / Contrastive Learning / Deep Learning / Coordinate Estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 358, PRMU2023-40, pp. 7-12, Jan. 2024.
Paper # PRMU2023-40 
Date of Issue 2024-01-18 (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 PRMU2023-40

Conference Information
Committee PRMU MVE VRSJ-SIG-MR IPSJ-CVIM  
Conference Date 2024-01-25 - 2024-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. (Hiyoshi Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2024-01-PRMU-MVE-SIG-MR-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images 
Sub Title (in English)  
Keyword(1) 3D User Interface  
Keyword(2) Image Recognition  
Keyword(3) Contrastive Learning  
Keyword(4) Deep Learning  
Keyword(5) Coordinate Estimation  
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1st Author's Name Tatsuya Abe  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Takeshi Umezawa  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Noritaka Osawa  
3rd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2024-01-25 10:03:00 
Presentation Time 12 minutes 
Registration for PRMU 
Paper # PRMU2023-40 
Volume (vol) vol.123 
Number (no) no.358 
Page pp.7-12 
#Pages 6 
Date of Issue 2024-01-18 (PRMU) 

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