Abstract


Natural features enable tracking for Augmented Reality. But the conven- tional method to measure features needs very high workload. Thus, in this study, we have developed a method to measure natural features automatically for tracking. In the developed method, the system gets images and shapes of the environment with a camera and a LRF (Laser Range nder). The system changes the position with a robot and it also calculate the location and the direction of the system using a registration method of pointclouds with ICP (Iterative Closest Point). We have conducted two experiments to evaluate the developed method.

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(C) 2020 Hirotake Ishii