Automatic Chinese food identification and quantity estimation

SIGGRAPH Asia 2012 Technical Briefs, SA 2012

Volumn , Issue , 2012, Pages

  Chen, Mei Yun ^a   Yang, Yung Hsiang ^a   Ho, Chia Ju ^a   Wang, Shih Han ^a   Liu, Shane Ming ^a   Chang, Eugene ^a   Yeh, Che Hua ^a   Ouhyoung, Ming ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST ALGORITHM; COLOR FEATURES; COOKED RICE; DEPTH INFORMATION; FEATURE DESCRIPTORS; FOOD INGREDIENTS; IDENTIFICATION PROBLEM; IMAGE CATEGORIZATION; LOCAL BINARY PATTERNS; MOBILE APPLICATIONS; MULTI-CLASS; MULTI-LABEL; PRELIMINARY APPROACH; PURE WATER; SPARSE CODING; STRAIGHT-FORWARD METHOD; SVM CLASSIFIERS;

ADAPTIVE BOOSTING; CLASSIFIERS; INFORMATION USE; INTERACTIVE COMPUTER GRAPHICS; PHOTOGRAPHY;

ESTIMATION;

EID: 84871735713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2407746.2407775     Document Type: Conference Paper

References (14)

1. BOSCH, M., ZHU, F., KHANNA, N., BOUSHEY, C., AND DELP, E. 2011. Combining global and local features for food identification in dietary assessment. In IEEE ICIP, 2011, 1789-1792.
2. CHANG, C.-C., AND LIN, C.-J. 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
3. HOASHI, H., JOUTOU, T., AND YANAI, K. 2010. Image recognition of 85 food categories by feature fusion. In IEEE ISM, 2010, 296-301.
4. JOUTOU, T., AND YANAI, K. 2009. A food image recognition system with multiple kernel learning. In IEEE ICIP, 2009, 285-288.
5. KITAMURA, K., YAMASAKI, T., AND AIZAWA, K. 2008. Food log by analyzing food images. In ACM MM, 2008, ACM, 999-1000.
6. KITAMURA, K., DE SILVA, C., YAMASAKI, T., AND AIZAWA, K. 2010. Image processing based approach to food balance analysis for personal food logging. In IEEE ICME, 2010, 625-630.
7. LOWE, D. G. 2004. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60, 2 (nov), 91-110.
8. OJALA, T., PIETIKÄINEN, M., AND MÄENPÄÄ , T. 2002. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE PAMI, 2002 24, 7 (jul), 971-987.
9. SCHARSTEIN, D., AND SZELISKI, R. 2002. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vision 47, 1-3 (Apr.), 7-42.
10. UNITED STATES DEPARTMENT OF AGRICULTURE, 2012. USDA ChooseMyPlate.gov. Website. http://www.choosemyplate.gov/.
11. YANG, J., YU, K., GONG, Y., AND HUANG, T. 2009. Linear spatial pyramid matching using sparse coding for image classification. In IEEE CVPR, 2009, 1794-1801.
12. YANG, S., CHEN, M., POMERLEAU, D., AND SUKTHANKAR, R. 2010. Food recognition using statistics of pairwise local features. In IEEE CVPR, 2010, 2249-2256.
13. ZHU, J., ROSSET, S., ZOU, H., AND HASTIE, T. 2009. Multiclass adaboost. Statistics and Its Interface 2, 3, 349-360.
14. ZHU, F., BOSCH, M., KHANNA, N., BOUSHEY, C., AND DELP, E. 2011. Multilevel segmentation for food classification in dietary assessment. In IEEE ISPA, 2011, 337-342.