Automatic refinement of 3D pose estimation using multiple cameras

自学工作室-该项目将专注于使用多个摄像头进行3D姿势估计的自动细化。与其他方法不同的是，我们不使用MOCAP点或加速度计，而是将单摄像机生成的3D后期估计融合成相干的联合估计，并使用改进的估计来保留单摄像机使用的估计器。人们相信，这些自举估计器将比初始估计器具有更强的稳健性和准确性，从而允许它们在更广泛的情况下使用。

The Self-Learning Studio - the project will focus on the automatic refinement of 3D pose estimation using multiple cameras. In contrast to other approaches we will not make use of mocap points or accelerometers, but instead fuse together 3D post estimations generated by single cameras into coherent joint estimates, and use the improved estimations to retain the estimators used by a single camera. It's believed that these bootstrapped estimators will have greater robustness and accuracy than the initial estimators, allowing their use in wider circumstances.