Food Recognition and Leftover Estimation for Daily Diet Monitoring
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23222-5_41
Reference28 articles.
1. Ahmad, Z., Khanna, N., Kerr, D.A., Boushey, C.J., Delp, E.J.: A mobile phone user interface for image-based dietary assessment. In: IS&T/SPIE Electronic Imaging, p. 903007. International Society for Optics and Photonics (2014)
2. Anthimopoulos, M.M., Gianola, L., Scarnato, L., Diem, P., Mougiakakou, S.G.: A food recognition system for diabetic patients based on an optimized bag-of-features model. IEEE Journal of Biomedical and Health Informatics 18(4), 1261–1271 (2014)
3. Beijbom, O., Joshi, N., Morris, D., Saponas, S., Khullar, S.: Menu-match: restaurant-specific food logging from images. In: 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 844–851. IEEE (2015)
4. Bettadapura, V., Thomaz, E., Parnami, A., Abowd, G., Essa, I.: Leveraging context to support automated food recognition in restaurants. In: 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 580–587 (2015)
5. Bianconi, F., Harvey, R., Southam, P., Fernández, A.: Theoretical and experimental comparison of different approaches for color texture classification. Journal of Electronic Imaging 20(4) (2011)
Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing;The Visual Computer;2024-07-09
2. Leveraging automatic personalised nutrition: food image recognition benchmark and dataset based on nutrition taxonomy;Multimedia Tools and Applications;2024-04-18
3. Deep learning in food category recognition;Information Fusion;2023-10
4. Survey on food intake methods using visual technologies;Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence;2023-09-21
5. Evaluating machine learning technologies for food computing from a data set perspective;Multimedia Tools and Applications;2023-09-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3