In this paper, we propose an extension of light stripe triangulation for multiple of moving rigid objects. With traditional light stripe triangulation, the acquired shape of moving object would be distorted. If the subject is a rigid object, we can correct the distortion in the acquired shape based on its motion. However, when the subject consists of multiple rigid objects that move differently one another, we need to segment the acquired shape into each object before correcting the distortion. When objects move largely, the segmentation becomes difficult without distortion correction since objects'' motion would significantly distort acquired shape. We propose a method for acquiring distortion-free shape of each object by performing segmentation after correcting distortion. When we correct the distortion based on the motion of one of the objects before segmentation, corrected shape would include not only true shape of the object but also false shape of the other objects. We perform segmentation as detecting such false shape by using silhouettes of the whole subject at some moments. We can acquire true shape of each object by eliminating detected false shape from the corrected shape. We validate proposed method and evaluate the accuracy by experiment. We also demonstrate an articulated hand model which acquired by applying proposed method for measuring the real hand under assuming that the hand consists of 18 rigid objects.
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