Abstract: Visibility metrics in multi-view medical activity recognition systems and methods are described herein. In certain illustrative examples, a system access imagery of a scene of a medical session captured by a plurality of sensors from a plurality of viewpoints, the imagery including first imagery captured by a first sensor of the plurality of sensors from a first viewpoint of the plurality of viewpoints. The system determines, during the medical session and based on the first imagery, a value of an activity visibility metric for the first sensor. The system facilitates, based on the value of the activity visibility metric, adjusting the first viewpoint of the first sensor.

Abstract: Multi-view medical activity recognition systems and methods are described herein. In certain illustrative examples, a system accesses a plurality of data streams representing imagery of a scene of a medical session captured by a plurality of sensors from a plurality of viewpoints. The system temporally aligns the plurality of data streams and determines, using a viewpoint agnostic machine learning model and based on the plurality of data streams, an activity within the scene.

Abstract: An exemplary processing system of a computer-assisted surgical system identifies an object in a surgical space, accesses a model of the object, identifies a pose of the object in the surgical space, aligns the model with the pose of the object to define depth data for the model in the surgical space, and generates a depth map in the surgical space for at least a portion of the object based on the depth data for the model. Corresponding systems and methods are also described.