Title :
Food volume estimation from a single image using virtual reality technology
Author :
Zhang, Zhengnan ; Yang, Yongquan ; Yue, Yaofeng ; Fernstrom, John D. ; Jia, Wenyan ; Sun, Mingui
Abstract :
In dietary studies, an accurate tool for diet assessment is highly required. In this paper, we present a new approach to the estimation of the food volume from a single input image based on the virtual reality (VR) technology. A virtual reality model is built for the estimation process and an algorithm is developed for the calculation of food volume. Experimental results have indicated high accuracy and robustness in the food volume estimation.
Keywords :
biomedical imaging; food safety; medical computing; virtual reality; food volume estimation; single input image; virtual reality technology; Cameras; Digital images; Estimation; Image processing; Optical imaging; Solid modeling; Virtual reality;
Conference_Titel :
Bioengineering Conference (NEBEC), 2011 IEEE 37th Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-61284-827-3
DOI :
10.1109/NEBC.2011.5778625