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Volumn , Issue , 2013, Pages 75-80

Image-based food volume estimation

Author keywords

3D reconstruction; Dietary assessment; Mobile application; Portion estimation; Pose estimation

Indexed keywords

COMPUTER APPLICATIONS; LABELS;

EID: 84887412599     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2506023.2506037     Document Type: Conference Paper
Times cited : (52)

References (27)
  • 13
    • 84871193676 scopus 로고    scopus 로고
    • Developing novel 3D measurement techniques and prediction method for food density determination
    • S. Kelkar, S. Stella, C. Boushey, and M. Okos. Developing novel 3D measurement techniques and prediction method for food density determination. Procedia Food Science, 1:483-491, 2011.
    • (2011) Procedia Food Science , vol.1 , pp. 483-491
    • Kelkar, S.1    Stella, S.2    Boushey, C.3    Okos, M.4
  • 15
    • 84856114996 scopus 로고    scopus 로고
    • Dietcam: Automatic dietary assessment with mobile camera phones
    • F. Kong and J. Tan. Dietcam: Automatic dietary assessment with mobile camera phones. Pervasive and Mobile Computing, 8(1):147-163, 2012.
    • (2012) Pervasive and Mobile Computing , vol.8 , Issue.1 , pp. 147-163
    • Kong, F.1    Tan, J.2
  • 17
    • 84865138735 scopus 로고    scopus 로고
    • Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size
    • C. D. Lee, J. Chae, T. E. Schap, D. A. Kerr, E. J. Delp, D. S. Ebert, and C. J. Boushey. Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size. Journal of diabetes science and technology, 6(2):428, 2012.
    • (2012) Journal of Diabetes Science and Technology , vol.6 , Issue.2 , pp. 428
    • Lee, C.D.1    Chae, J.2    Schap, T.E.3    Kerr, D.A.4    Delp, E.J.5    Ebert, D.S.6    Boushey, C.J.7
  • 18
    • 84856338493 scopus 로고    scopus 로고
    • 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
    • T. R. E. Schap, B. L. Six, E. J. Delp, D. S. Ebert, D. A. Kerr, and C. J. Boushey. 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. Public Health Nutrition, 1(1):1-8.
    • Public Health Nutrition , vol.1 , Issue.1 , pp. 1-8
    • Schap, T.R.E.1    Six, B.L.2    Delp, E.J.3    Ebert, D.S.4    Kerr, D.A.5    Boushey, C.J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.