Described herein are methods and systems for obtaining high-quality images, which may be suitable for various applications such as training and operating artificial intelligence (AI) systems. Specifically, a system may comprise multiple cameras and one or more actuators that are capable of moving these cameras relative to each other. For example, these cameras may form one or more stereo pairs, each pair having its stereo axis. The actuators can change baselines in these pairs and/or tilt these stereo axes relative to the imaged objects to address possible self-similarity issues associated with the shape of these objects and their orientation relative to the cameras. In some examples, the simultaneous images captured by these cameras are used to construct a three-dimensional (3D) model. The fidelity of this model is then used to determine the position of the cameras (as a camera unit or individually for each camera).