A comparison of food portion size estimation using geometric models and depth images
Six of the ten leading causes of death in the United States, including cancer, diabetes, and heart disease, can be directly linked to diet. Dietary intake, the process of determining what someone eats during the course of a day, provides valuable insights for mounting intervention programs for preve...
| Main Authors: | Fang, S., Zhu, F., Jiang, C., Zhang, S., Boushey, Carol, Delp, E. |
|---|---|
| Format: | Conference Paper |
| Published: |
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/51080 |
Similar Items
Single-View Food Portion Estimation Based on Geometric Models
by: Fang, S., et al.
Published: (2016)
by: Fang, S., et al.
Published: (2016)
The use of co-occurrence patterns in single image based food portion estimation
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
Comparison of Known Foods Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size
by: Lee, C., et al.
Published: (2012)
by: Lee, C., et al.
Published: (2012)
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions
by: Schap, T., et al.
Published: (2011)
by: Schap, T., et al.
Published: (2011)
Portion Sizes from 24-Hour Dietary Recalls Differed by Sex among Those Who Selected the Same Portion Size Category on a Food Frequency Questionnaire
by: Kang, M., et al.
Published: (2018)
by: Kang, M., et al.
Published: (2018)
Image-based food volume estimation
by: Xu, C., et al.
Published: (2013)
by: Xu, C., et al.
Published: (2013)
Food image analysis: Segmentation, identification and weight estimation
by: He, Y., et al.
Published: (2013)
by: He, Y., et al.
Published: (2013)
Weakly supervised food image segmentation using class activation maps
by: Wang, Y., et al.
Published: (2018)
by: Wang, Y., et al.
Published: (2018)
CTADA: The design of a crowdsourcing tool for online food image identification and segmentation
by: Fang, S., et al.
Published: (2018)
by: Fang, S., et al.
Published: (2018)
The use of temporal information in food image analysis
by: Wang, Y., et al.
Published: (2015)
by: Wang, Y., et al.
Published: (2015)
Efficient superpixel based segmentation for food image analysis
by: Wang, Y., et al.
Published: (2016)
by: Wang, Y., et al.
Published: (2016)
The mathematical relationship between dishware size and portion size
by: Pratt, Steve, et al.
Published: (2012)
by: Pratt, Steve, et al.
Published: (2012)
Accuracy of hands v. household measures as portion size estimation aids
by: Gibson, A., et al.
Published: (2016)
by: Gibson, A., et al.
Published: (2016)
Food image analysis: The big data problem you can eat!
by: Wang, Y., et al.
Published: (2017)
by: Wang, Y., et al.
Published: (2017)
Volume estimation using food specific shape templates in mobile image-based dietary assessment
by: Chae, J., et al.
Published: (2011)
by: Chae, J., et al.
Published: (2011)
Snakes assisted food image segmentation
by: He, Y., et al.
Published: (2012)
by: He, Y., et al.
Published: (2012)
Can front-of-pack labels influence portion size judgements for unhealthy foods?
by: Talati, Zenobia, et al.
Published: (2018)
by: Talati, Zenobia, et al.
Published: (2018)
Context based food image analysis
by: He, Y., et al.
Published: (2013)
by: He, Y., et al.
Published: (2013)
Analysis of food images: Features and classification
by: He, Y., et al.
Published: (2014)
by: He, Y., et al.
Published: (2014)
Can front-of-pack labels influence portion size judgements for unhealthy foods? - CORRIGENDUM
by: Talati, Zenobia, et al.
Published: (2018)
by: Talati, Zenobia, et al.
Published: (2018)
Model-based food volume estimation using 3D pose
by: Xu, C., et al.
Published: (2013)
by: Xu, C., et al.
Published: (2013)
An exploratory study of visual aids using life-sized photographs of serve/portion sizes of foods and their effectiveness in recording dietary intakes
by: Zainal Badari, Shamsul Azahari, et al.
Published: (2015)
by: Zainal Badari, Shamsul Azahari, et al.
Published: (2015)
Mobile image based color correction using deblurring
by: Wang, Y., et al.
Published: (2015)
by: Wang, Y., et al.
Published: (2015)
Multiple hypotheses image segmentation and classification with application to dietary assessment
by: Zhu, F., et al.
Published: (2015)
by: Zhu, F., et al.
Published: (2015)
Context based image analysis with application in dietary assessment and evaluation
by: Wang, Y., et al.
Published: (2017)
by: Wang, Y., et al.
Published: (2017)
Image enhancement and quality measures for dietary assessment using mobile devices
by: Xu, C., et al.
Published: (2012)
by: Xu, C., et al.
Published: (2012)
A printer indexing system for color calibration with applications in dietary assessment
by: Fang, S., et al.
Published: (2015)
by: Fang, S., et al.
Published: (2015)
Image segmentation for image-based dietary assessment: A comparative study
by: He, Y., et al.
Published: (2013)
by: He, Y., et al.
Published: (2013)
The great portion debate
by: McManus, Alexandra
Published: (2011)
by: McManus, Alexandra
Published: (2011)
Merging dietary assessment with the adolescent lifestyle
by: Schap, T., et al.
Published: (2014)
by: Schap, T., et al.
Published: (2014)
Segmentation assisted food classification for dietary assessment
by: Zhu, F., et al.
Published: (2011)
by: Zhu, F., et al.
Published: (2011)
Specular highlight removal for image-based dietary assessment
by: He, Y., et al.
Published: (2012)
by: He, Y., et al.
Published: (2012)
New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods
by: Boushey, C., et al.
Published: (2017)
by: Boushey, C., et al.
Published: (2017)
Benchmark data set and method for depth estimation from light field images
by: Feng, Mingtao, et al.
Published: (2018)
by: Feng, Mingtao, et al.
Published: (2018)
A method to determine the density of foods using X-ray imaging
by: Kelkar, S., et al.
Published: (2015)
by: Kelkar, S., et al.
Published: (2015)
Depth Map Estimation based on Linear Regression using Image Focus
by: Malik , Aamir Saeed, et al.
Published: (2011)
by: Malik , Aamir Saeed, et al.
Published: (2011)
Association between cognitive restraint, uncontrolled eating, emotional eating and BMI and the amount of food wasted in early adolescent girls
by: Banna, J., et al.
Published: (2018)
by: Banna, J., et al.
Published: (2018)
Modified dynamic time warping (MDTW) for estimating temporal dietary patterns
by: Khanna, N., et al.
Published: (2018)
by: Khanna, N., et al.
Published: (2018)
Technology-based dietary assessment in youth with and without developmental disabilities
by: Polfuss, M., et al.
Published: (2018)
by: Polfuss, M., et al.
Published: (2018)
Similar Items
-
Single-View Food Portion Estimation Based on Geometric Models
by: Fang, S., et al.
Published: (2016) -
The use of co-occurrence patterns in single image based food portion estimation
by: Fang, S., et al.
Published: (2018) -
Comparison of Known Foods Weights with Image-Based Portion-Size Automated Estimation and Adolescents' Self-Reported Portion Size
by: Lee, C., et al.
Published: (2012) -
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
by: Fang, S., et al.
Published: (2018) -
Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions
by: Schap, T., et al.
Published: (2011)