Abstract:

We present a simple method for calibrating a set of cameras that may not have overlapping field of views. We reduce the problem of calibrating the non-overlapping cameras to the problem of localizing the cameras with respect to a global 3D model reconstructed with a simultaneous localization and mapping (SLAM) system. Specifically, we first reconstruct such a global 3D model by using a SLAM system using an RGB-D sensor. We then perform localization and intrinsic parameter estimation for each camera by using 2D-3D correspondences between the camera and the 3D model. Our method locates the cameras within the 3D model, which is useful for visually inspecting camera poses and provides a model-guided browsing interface of the images. We demonstrate the advantages of our method using several indoor scenes.