Presentation 2024-01-25
Estimation of 3D Fingertips Coordinates Using Contrastive Embeddings from Hand Images
Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) 3D User Interface / Image Recognition / Contrastive Learning / Deep Learning / Coordinate Estimation
Paper # PRMU2023-40
Date of Issue 2024-01-18 (PRMU)

Conference Information
Committee PRMU / MVE / VRSJ-SIG-MR / IPSJ-CVIM
Conference Date 2024/1/25(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Keio Univ. (Hiyoshi Campus)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kunio Kashio(NTT) / Kiyoshi Kiyokawa(NAIST) / / 日浦 慎作(兵庫県立大)
Vice Chair Takuya Funatomi(NAIST) / Go Irie(Tokyo Univ. of Science) / Sumaru Niida(KDDI Research)
Secretary Takuya Funatomi(Tokyo Inst. of Tech.) / Go Irie(Riken) / Sumaru Niida(Otsuma Women's University) / (DNP) / (Kyushu Univ.)
Assistant Kei Shimonishi(Kyoto Univ.) / Kensho Hara(AIST) / Hidehiko Shishido(Soka University) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Yuji Tatada(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Media Experience and Virtual Environment / SIG-MR / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of 3D Fingertips Coordinates 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
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.)
Date 2024-01-25
Paper # PRMU2023-40
Volume (vol) vol.123
Number (no) PRMU-358
Page pp.pp.7-12(PRMU),
#Pages 6
Date of Issue 2024-01-18 (PRMU)