A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation-Reference-Cited by-同舟云学术

A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management
language:
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Author:

Abdur Rahman Lubnaa¹^ORCID,Papathanail Ioannis¹^ORCID,Brigato Lorenzo¹^ORCID,Mougiakakou Stavroula¹^ORCID

Affiliation:

1. University of Bern, Bern, Switzerland

Funder

MELISSA

Swiss Confederation - State Secretariat for Education, Research and Innovation (SERI)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607828.3617794

Reference38 articles.

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2. Lameck Mbangula Amugongo , Alexander Kriebitz , Auxane Boch , and Christoph Lütge . 2022 . Mobile computer vision-based applications for food recognition and volume and calorific estimation: A systematic review . In Healthcare , Vol. 11 . MDPI, 59. Lameck Mbangula Amugongo, Alexander Kriebitz, Auxane Boch, and Christoph Lütge. 2022. Mobile computer vision-based applications for food recognition and volume and calorific estimation: A systematic review. In Healthcare, Vol. 11. MDPI, 59.

3. Shariq Farooq Bhat , Reiner Birkl , DianaWofk, PeterWonka, and Matthias Müller . 2023 . Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288 (2023). Shariq Farooq Bhat, Reiner Birkl, DianaWofk, PeterWonka, and Matthias Müller. 2023. Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288 (2023).

4. Mei-Yun Chen Yung-Hsiang Yang Chia-Ju Ho Shih-Han Wang Shane-Ming Liu Eugene Chang Che-Hua Yeh and Ming Ouhyoung. 2012. Automatic chinese food identification and quantity estimation. In SIGGRAPH Asia 2012 Technical Briefs. 1--4. Mei-Yun Chen Yung-Hsiang Yang Chia-Ju Ho Shih-Han Wang Shane-Ming Liu Eugene Chang Che-Hua Yeh and Ming Ouhyoung. 2012. Automatic chinese food identification and quantity estimation. In SIGGRAPH Asia 2012 Technical Briefs. 1--4.

5. Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks