Motion-based pose estimation via free falling

摘要: Recently, multiple cameras can be calibrated with high precision calibration object. However, most existing methods are often difficult to design and further cause computational cost. Therefore in this paper, we propose a new method simultaneously calibrate into network using free fall motion. Specifically, it first estimates the feature points based on synchronization or asynchronous The extracted then used as corresponding for multi-camera calibration. After adding an uncalibrated node of cameras, our fully automatic several Finally, proposed is evaluated synthetic data.