Camera-Based Meal Type and Weight Estimation in Self-Service Lunch Line Restaurants
Author:
Affiliation:
1. University of Helsinki,Dept. of Computer Science,Helsinki,Finland
2. University of Turku,Dept. of Computing,Turku,Finland
3. Functional Foods Forum, University of Turku, Turku, Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854043/9853852/09854056.pdf?arnumber=9854056
Reference23 articles.
1. An intelligent passive food intake assessment system with egocentric cameras;lo;CoRR,2021
2. A survey on food computing;min;ACM Comput Surv,2019
3. Multi-task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation
4. Im2Calories: Towards an Automated Mobile Vision Food Diary
5. Deep Residual Learning for Image Recognition
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2. Pelayanan Lunch oleh Waiter dan Waitress pada Nusantara Restaurant di Ascent Premiere Hotel and Convention Malang;Jurnal Pariwisata dan Perhotelan;2023-11-01
3. Vision-Based Methods for Food and Fluid Intake Monitoring: A Literature Review;Sensors;2023-07-04
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