Volume estimation using food specific shape templates in mobile image-based dietary assessment

QR Code

Volume estimation using food specific shape templates in mobile image-based dietary assessment

As obesity concerns mount, dietary assessment methods for prevention and intervention are being developed. These methods include recording, cataloging and analyzing daily dietary records to monitor energy and nutrient intakes. Given the ubiquity of mobile devices with built-in cameras, one possible...

Full description

Bibliographic Details
Main Authors:	Chae, J., Woo, I., Kim, S., Maciejewski, R., Zhu, F., Delp, E., Boushey, Carol, Ebert, D.
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/50183

Similar Items

Image-based food volume estimation
by: Xu, C., et al.
Published: (2013)

Food volume estimation in a mobile phone based dietary assessment system
by: Rahman, M., et al.
Published: (2012)

Segmentation assisted food classification for dietary assessment
by: Zhu, F., et al.
Published: (2011)

Model-based food volume estimation using 3D pose
by: Xu, C., et al.
Published: (2013)

A mobile food record for integrated dietary assessment
by: Ahmad, Ziad, et al.
Published: (2016)

Integrated database system for mobile dietary assessment and analysis
by: Bosch, M., et al.
Published: (2011)

Image enhancement and quality measures for dietary assessment using mobile devices
by: Xu, C., et al.
Published: (2012)

The use of co-occurrence patterns in single image based food portion estimation
by: Fang, S., et al.
Published: (2018)

Merging dietary assessment with the adolescent lifestyle
by: Schap, T., et al.
Published: (2014)

Single-View Food Portion Estimation Based on Geometric Models
by: Fang, S., et al.
Published: (2016)

A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System
by: Hafizur, Rahman, et al.
Published: (2012)

Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents
by: Daugherty, B., et al.
Published: (2012)

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)

New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods
by: Boushey, C., et al.
Published: (2017)

Modified dynamic time warping (MDTW) for estimating temporal dietary patterns
by: Khanna, N., et al.
Published: (2018)

A comparison of food portion size estimation using geometric models and depth images
by: Fang, S., et al.
Published: (2016)

Technology-assisted dietary assessment
by: Zhu, F., et al.
Published: (2008)

How willing are adolescents to record their dietary intake? The mobile food record
by: Kerr, Deborah, et al.
Published: (2015)

A printer indexing system for color calibration with applications in dietary assessment
by: Fang, S., et al.
Published: (2015)

Food image analysis: Segmentation, identification and weight estimation
by: He, Y., et al.
Published: (2013)

Multiple hypotheses image segmentation and classification with application to dietary assessment
by: Zhu, F., et al.
Published: (2015)

Technology-based dietary assessment in youth with and without developmental disabilities
by: Polfuss, M., et al.
Published: (2018)

Context based image analysis with application in dietary assessment and evaluation
by: Wang, Y., et al.
Published: (2017)

Evidence-Based Development of a Mobile Telephone Food Record
by: Six, B., et al.
Published: (2010)

Use of technology in children's dietary assessment
by: Boushey, C., et al.
Published: (2009)

Specular highlight removal for image-based dietary assessment
by: He, Y., et al.
Published: (2012)

Image segmentation for image-based dietary assessment: A comparative study
by: He, Y., et al.
Published: (2013)

Weakly supervised food image segmentation using class activation maps
by: Wang, Y., et al.
Published: (2018)

A mobile phone user interface for image-based dietary assessment
by: Ahmad, Ziad, et al.
Published: (2014)

An overview of the Technology Assisted Dietary Assessment project at Purdue University
by: Khanna, N., et al.
Published: (2010)

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)

Evaluation of the Food and Nutrient Database for Dietary Studies for use with a mobile telephone food record
by: Six, B., et al.
Published: (2011)

Applied visual analytics for exploring the National Health and Nutrition Examination Survey
by: Torres, S., et al.
Published: (2012)

BMI is Associated with the Willingness to Record Diet with a Mobile Food Record among Adults Participating in Dietary Interventions
by: Kerr, Deborah, et al.
Published: (2017)

The use of temporal information in food image analysis
by: Wang, Y., et al.
Published: (2015)

Mobile image based color correction using deblurring
by: Wang, Y., et al.
Published: (2015)

Efficient superpixel based segmentation for food image analysis
by: Wang, Y., et al.
Published: (2016)

Characterizing early adolescent plate waste using the mobile food record
by: Panizza, C., et al.
Published: (2017)

Perception v. actual intakes of junk food and sugar-sweetened beverages in Australian young adults: assessed using the mobile food record
by: Harray, A., et al.
Published: (2017)

Snakes assisted food image segmentation
by: He, Y., et al.
Published: (2012)