3D/2D model-to-image registration for quantitative dietary assessment

Hsin Chen Chen, Wenyan Jia, Zhaoxin Li, Yung Nien Sun, Mingui Sun

研究成果: Conference contribution

20 引文 斯高帕斯(Scopus)

摘要

Image-based dietary assessment is important for health monitoring and management because it can provide quantitative and objective information, such as food volume, nutrition type, and calorie intake. In this paper, a new framework, 3D/2D model-to-image registration, is presented for estimating food volume from a single-view 2D image containing a reference object (i.e., a circular dining plate). First, the food is segmented from the background image based on Otsu's thresholding and morphological operations. Next, the food volume is obtained from a user-selected, 3D shape model. The position, orientation and scale of the model are optimized by a model-to-image registration process. Then, the circular plate in the image is fitted and its spatial information is used as constraints for solving the registration problem. Our method takes the global contour information of the shape model into account to obtain a reliable food volume estimate. Experimental results using regularly shaped test objects and realistically shaped food models with known volumes both demonstrate the effectiveness of our method.

原文English
主出版物標題2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012
頁面95-96
頁數2
DOIs
出版狀態Published - 2012
事件38th Annual Northeast Bioengineering Conference, NEBEC 2012 - Philadelphia, PA, United States
持續時間: 2012 三月 162012 三月 18

出版系列

名字2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012

Other

Other38th Annual Northeast Bioengineering Conference, NEBEC 2012
國家United States
城市Philadelphia, PA
期間12-03-1612-03-18

All Science Journal Classification (ASJC) codes

  • Bioengineering

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