| Paper Abstract and Keywords |
| Presentation |
2022-03-08 13:50
An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model
Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
With the recent development of deep learning techniques, many image recognition methods have been proposed for various objects including foods and ingredients. However, preparing training datasets of real objects is difficult, because foods and ingredients often deteriorate quickly and a number of those types are large. Therefore, we have been studying a deep learning-based image recognition method which uses 3D models as training dataset. In this paper, we focus on an estimation of remaining amount of food ingredients, and we conduct an experiment on a simple sphere as an initial step of our study, and report its result. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
deep learning / image recognition / food ingredients / 3D model / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, pp. 393-394, March 2022. |
| Paper # |
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| Date of Issue |
2022-03-01 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2022-03-08 - 2022-03-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2022 |
| Paper Information |
| Registration To |
IIEEJ |
| Conference Code |
2022-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model |
| Sub Title (in English) |
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| Keyword(1) |
deep learning |
| Keyword(2) |
image recognition |
| Keyword(3) |
food ingredients |
| Keyword(4) |
3D model |
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| 1st Author's Name |
Hiromu Takata |
| 1st Author's Affiliation |
University Of Toyama (Univ. Of Toyama) |
| 2nd Author's Name |
Syuhei Sato |
| 2nd Author's Affiliation |
University Of Toyama (Univ. Of Toyama) |
| 3rd Author's Name |
Shangce Gao |
| 3rd Author's Affiliation |
University Of Toyama (Univ. Of Toyama) |
| 4th Author's Name |
Zheng Tang |
| 4th Author's Affiliation |
University Of Toyama (Univ. Of Toyama) |
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| Speaker |
Author-1 |
| Date Time |
2022-03-08 13:50:00 |
| Presentation Time |
90 minutes |
| Registration for |
IIEEJ |
| Paper # |
AIT2022-147 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.10 |
| Page |
pp.393-394 |
| #Pages |
2 |
| Date of Issue |
2022-03-01 (AIT) |