基于单幅二维图像且无需传统相机校准的食物体积测量。
Measurement of food volume based on single 2-D image without conventional camera calibration.
作者信息
Yue Yaofeng, Jia Wenyan, Sun Mingui
机构信息
Department of Electrical Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2166-9. doi: 10.1109/EMBC.2012.6346390.
Food portion size measurement combined with a database of calories and nutrients is important in the study of metabolic disorders such as obesity and diabetes. In this work, we present a convenient and accurate approach to the calculation of food volume by measuring several dimensions using a single 2-D image as the input. This approach does not require the conventional checkerboard based camera calibration since it is burdensome in practice. The only prior requirements of our approach are: 1) a circular container with a known size, such as a plate, a bowl or a cup, is present in the image, and 2) the picture is taken under a reasonable assumption that the camera is always held level with respect to its left and right sides and its lens is tilted down towards foods on the dining table. We show that, under these conditions, our approach provides a closed form solution to camera calibration, allowing convenient measurement of food portion size using digital pictures.
食物份量测量结合卡路里和营养数据库，对于肥胖症和糖尿病等代谢紊乱疾病的研究至关重要。在这项工作中，我们提出了一种便捷且准确的方法，通过使用单个二维图像作为输入来测量多个维度，从而计算食物体积。这种方法不需要传统的基于棋盘格的相机校准，因为在实际操作中它很繁琐。我们方法的唯一先验要求是：1）图像中存在一个尺寸已知的圆形容器，如盘子、碗或杯子；2）拍摄图片时需满足合理假设，即相机相对于其左右两侧始终保持水平，且镜头向下倾斜朝向餐桌上的食物。我们表明，在这些条件下，我们的方法提供了相机校准的封闭形式解，允许使用数字图片方便地测量食物份量大小。
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