Image-based Portion Estimation
Image-Based Portion Estimation is a method within the domain of dietary assessment that uses digital images of food as visual input to estimate the volume or quantity of a consumed portion by applying image analysis techniques to transform pixel data into measurable food dimensions.
71
Publications
3.3K
Citations
227
Authors
72
Institutions
Publications per year
2017–2026
35
Parents
71
Two-View 3D Reconstruction for Food Volume Estimation
Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik et al. · IEEE Transactions on Multimedia · 2016 · 149 citations
Weiyu Zhang, Qian Yu, Behjat Siddiquie et al. · Journal of Diabetes Science and Technology · 2015 · 140 citations · Full text
Agriculture, Food Science, Nutrition +14
1–5 of 71
227
16
h-index
13
h-index
11
h-index
11
h-index
10
h-index
1–5 of 227
72
Purdue University West Lafayette
West Lafayette, United States
14 h-index
71 publications
6.2K citations
University of Pittsburgh
Pittsburgh, United States
11 h-index
55 publications
2.6K citations
Cancer Center of Hawaii
Honolulu, United States
11 h-index
11 publications
552 citations

University of Hawaii System
Honolulu, United States
10 h-index
10 publications
476 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
10 h-index
10 publications
476 citations
University of Hawaii Cancer Center
Honolulu, United States
9 h-index
9 publications
416 citations
Curtin University
Perth, Australia
5 h-index
7 publications
347 citations

Graphic Era University
Dehradun, India
3 h-index
3 publications
129 citations
1–8 of 72
PNH · 4 publications · 208 citations
4
h-index
3 publications · 203 citations
3
h-index
Repository · 2 publications · 49 citations
2
h-index
2 publications · 135 citations
2
h-index
2 publications · 53 citations
2
h-index
1–5