Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration.
Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration.
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DOI：
10.1088/0957-0233/24/10/105701
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发表时间：
2013-10
影响因子：
2.4
通讯作者：
Sun M
中科院分区：
文献类型：
--
作者：
Chen HC;Jia W;Yue Y;Li Z;Sun YN;Fernstrom JD;Sun M
膳食评估在许多慢性疾病（如肥胖、糖尿病和心血管疾病）的健康维护和干预中非常重要。然而，目前缺乏用于在现实生活环境中测量食物体积（份量大小）的方便方法。我们提出了一种计算方法来估计食物的体积从一个典型的餐盘中包含的食物的单一的摄影图像。首先，我们计算食物的位置相对于一个3D相机坐标系使用板作为比例参考。然后，从图像中的背景中自动分割食物。基于图像的颜色对比度、区域颜色均匀性和曲线弯曲度等特征，实现了自适应阈值分割和蛇模型的建立。接下来，表示食物的一般形状的3D模型（例如，圆柱体、球体等）从预先构建的形状模型库中选择。通过将投影的3D模型和图像中的食物轮廓配准来确定所选择的形状模型的位置、取向和尺度，其中参考的属性被用作约束。实验结果表明，使用各种逼真的形状的食物与已知的体积表现出令人满意的性能，我们的基于图像的食物体积测量方法，即使在输入图像中的食物的3D几何表面不完全表示。
Dietary assessment is important in health maintenance and intervention in many chronic conditions, such as obesity, diabetes, and cardiovascular disease. However, there is currently a lack of convenient methods for measuring the volume of food (portion size) in real-life settings. We present a computational method to estimate food volume from a single photographical image of food contained in a typical dining plate. First, we calculate the food location with respect to a 3D camera coordinate system using the plate as a scale reference. Then, the food is segmented automatically from the background in the image. Adaptive thresholding and snake modeling are implemented based on several image features, such as color contrast, regional color homogeneity and curve bending degree. Next, a 3D model representing the general shape of the food (e.g., a cylinder, a sphere, etc.) is selected from a pre-constructed shape model library. The position, orientation and scale of the selected shape model are determined by registering the projected 3D model and the food contour in the image, where the properties of the reference are used as constraints. Experimental results using various realistically shaped foods with known volumes demonstrated satisfactory performance of our image based food volume measurement method even if the 3D geometric surface of the food is not completely represented in the input image.
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影响因子：
4.7
作者：
通讯作者：
--
影响因子：
4.7
作者：
通讯作者：
--
影响因子：
3.6
作者：
Livingstone, MBE;Robson, PJ;Wallace, JMW
通讯作者：
Wallace, JMW
影响因子：
7
作者：
Koc, Ali Bulent
通讯作者：
Koc, Ali Bulent
影响因子：
1.6
作者：
Chen, Yu-Jen;Li, Yan-Chay;Young, Ming-Shing
通讯作者：
Young, Ming-Shing