Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration

Measurement Science and Technology

Volumn 24, Issue 10, 2013, Pages

  Chen, Hsin Chen ^a,b,c   Jia, Wenyan ^b   Yue, Yaofeng ^a   Li, Zhaoxin ^d   Sun, Yung Nien ^c   Fernstrom, John D ^b   Sun, Mingui ^a,b  

^a PA 15260   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^d HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

active contour model; food volume estimation; Model based framework; quantitative dietary assessment; single view 3D 2D registration

Indexed keywords

IMAGE SEGMENTATION; PHOTOGRAPHY;

3-D/2-D REGISTRATION; ACTIVE CONTOUR MODEL; DIETARY ASSESSMENTS; MODEL-BASED OPC; VOLUME ESTIMATIONS;

CAMERAS;

EID: 84884894489     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/24/10/105701     Document Type: Article

References (33)

1. Key T J, Schatzkin A, Willett W C, Allen N E, Spencer E A and Travis R C 2004 Diet, nutrition and the prevention of cancer Public Health Nutr. 7 187-200 (Pubitemid 38294517)
2. Goris A H, Westerterp-Plantenga M S and Westerterp K R 2000 Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake Am. J. Clin. Nutr. 71 130-4 (Pubitemid 30033595)
3. Livingstone M B E, Robson P J and Wallace J M W 2004 Issues in dietary intake assessment of children and adolescent Br. J. Nutr. 92 S213-22 (Pubitemid 39406661)
4. Boushey C J, Kerr D A, Wright J, Lutes K D, Eber D S and Delp E J 2009 Use of technology in children's dietary assessment Eur. J. Clin. Nutr. 63 S50-57
5. Arab L, Estrin D, Kim D H, Burke J and Goldman J 2011 Feasibility testing of an automated image-capture method to aid dietary recall Eur. J. Clin. Nutr. 65 1156-62
6. Sun M, Yao N, Hackworth SA, Yang J, Fernstrom J D, Fernstrom M H and Sclabassi R J 2009 A human-centric smart system assisting people in healthy diet and active living Proc. Int. Symp. of Digital Life Technologies: Human-Centric Smart Living Technology (Tainan, Taiwan,)
7. Bai Y, Li C, Jia W, Li J, Mao Z H and Sun M 2012 Designing a wearable computer for lifestyle evaluation Proc. 38th Annu. Northeast Bioengineering Conf. (Philadelphia, PA, USA,) pp 93-4
8. Zhang H, Li Y, Hackworth S A, Yue Y, Li C, Yan G and Sun M 2010 The design and realization of a wearable embedded device for dietary and physical activity monitoring Proc. 3rd Int. Symp. on Systems and Control in Aeronautics and Astronautics (Harbin, China,) pp 123-6
9. Bodner-Montville J, Ahuja J K C, Ingwersen L A, Haggerty E S, Enns C W and Perloff B P 2006 USDA food and nutrient database for dietary studies: released on the web J. Food Compos. Anal. 19 S100-7
10. Puri M, Zhu Z, Yu Q, Divakaran A and Sawhney H 2009 Recognition and volume estimation of food intake using a mobile device WACV: Workshop on Applications of Computer Vision (Snowbird, UT, USA,) pp 1-8
11. Kong F and Tan J 2012 DietCam: automatic dietary assessment with mobile camera phones J. Pervasive Mobile Comput. 8 147-63
12. Mrey D and Pedreschi F 2005 Segmentation of colour food images using a robust algorithm J. Food Eng. 66 353-60
13. Zhu F, Bosch M, Woo I, Kim S Y, Boushey C J, Ebert D S and Delp E J 2010 The use of mobile devices in aiding dietary assessment and evaluation IEEE J. Sel. Top. Signal Process. 4 756-66
14. Zhu F, Bosch M, Khanna N, Boushey C J and Delp E J 2011 Multilevel segmentation for food classification in dietary assessment ISPA: 7th Int. Symp. on Image and Signal Processing and Analysis pp 337-42
15. Sun M, Liu Q, Schmidt K, Yang J, Yao N, Fernstrom J D, Fernstrom M H, Delany J P and Sclabassi R J 2008 Determination of food portion size by image processing 30th Annu. Int. IEEE EMBS Conf. (Vancouver, British Columbia, Canada,) pp 871-4
16. Chae J, Woo I, Kim S Y, Maciejewsku R, Zhu F, Delp E J, Boushey C J and Ebert D S 2011 Volume estimation using food specific shape templates in mobile image-based dietary assessment Proc. SPIE 7873 78730K
17. Fellegari R and Navid H 2011 Determining the orange volume using image process IPCBEE: Int. Conf. on Food Engineering and Biotechnology pp 180-4
18. Koc A B 2007 Determination of watermelon volume using ellipsoid approximation and image-processing methods Postharvest Biol. Technol. 45 366-71 (Pubitemid 47088252)
19. Rashidi M and Gholami M 2008 Determination of kiwifruit volume using ellipsoid approximation and image-processing methods Int. J. Agric. Biol. 10 375-80
20. Jia W, Yue Y, Fernstrom J D, Yao N, Sclabassi R J, Fernstrom M H and Sun M 2012 Image-based estimation of food volume using circular referents in dietary assessment J. Food Eng. 109 76-86
21. Zhang Z 2000 A flexible new technique for camera calibration IEEE Trans. Pattern Anal. Mach. Intell. 22 1330-4
22. Bentley J L 1975 Multidimensional binary search trees used for associative searching Commun. ACM 18 509-17
23. Otsu N 1979 A threshold selection method from gray-level histograms IEEE Trans. Syst. Man Cybern. 9 62-6 (Pubitemid 9413341)
24. Andrew A M 1979 Another efficient algorithm for convex hulls in two dimensions Inf. Process. Lett. 9 216-9 (Pubitemid 10447491)
25. Gevers T, Ghebreab S and Smeulders A W M 1998 Color invariant snakes British Machine Vision Conf. pp 578-88
26. Gonzalez R C and Woods R E 2007 Digital Image Processing 3rd edn (Englewood Cliffs, NJ: Prentice-Hall)
27. Toet A 1994 Target detection and recognition through contour matching Technical Report TNO.WP31.AT.95b CALMA project
28. Zou K H, Warfield S K, Bharatha A, Tempany C M, Kaus M R, Haker S J, Wells W M, Jolesz F A and Kikinis R 2004 Statistical validation image segmentation quality based on a spatial overlap index Acad. Radiol. 11 178-89 (Pubitemid 38140289)
29. Godwin S L, Chambers E and Cleveland L 2004 Accuracy of reporting dietary intake using various portion-size aids in-person and via telephone J. Am. Diet. Assoc. 104 585-94 (Pubitemid 38438389)
30. Rahman M H, Li Q, Pickering M, Bouchey C and Delp E 2012 Food volume estimation in a mobile phone based dietary assessment system 8th Int. Conf. on Signal Image Technology and Internet Based Systems pp 988-95
31. Lee C, Chae J, Schap T, Kerr D, Delp E, Eber D and Boushey C 2012 Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size J. Diabetes Sci. Technol. 6 428-34
32. Chen Y J, Li Y C, Huang K N, Jen S L and Young M S 2008 Video tracking algorithm of long-term experiment using stand-alone recording system Rev. Sci. Instrum. 79 085108
33. Li Z, Sun M, Chen H C, Li J, Wang K and Jia W 2012 Distortion correction in wide-angle images for picture-based food portion size estimation Proc. 38th Annu. Northeast Bioengineering Conf. (Philadelphia, PA,) pp 424-5