Image-based food volume estimation

Authors:
Chang Xu;Ye He;Nitin Khannan;Albert Parra;Carol Boushey;Edward Delp
Affiliations:
Purdue University, West Lafayette, IN, USA;Purdue University, West Lafayette, IN, USA;Graphic Era University, Dehradun , India;Purdue University, West Lafayette, IN, USA;University of Hawaii Cancer, Honolulu, HI, USA;Purdue University, West Lafayette, IN, USA
Venue:
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
Year:
2013

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Abstract

In this paper, we propose an extension to our previous work on food portion size estimation using a single image and a multi-view volume estimation method. The single-view technique estimates food volume by using prior information (segmentation and food labels) generated from food identification methods we described earlier. For multi-view volume estimation, we use ``Shape from Silhouettes'' to estimate the food portion size. The experimental results of our volume estimation methods demonstrate our results with respect to accuracy and reliability.