Abstract: Aspects of the present disclosure relate to systems and methods for generating a predicted eye gaze of a user and or a predicted head pose of a user. In examples, feature information for a first eye of a user is generated based on a first image and a second image, where the first image is received from a first image sensor and the second image is received from a second image sensor. Feature information for a second eye of the user and facial landmark features are generated based on the first image and the second image. A predicted eye gaze for the user and/or a predicted head pose for the user may be based on the extracted feature information for the first eye, the second eye, and the extracted facial landmark features, and a confidence level for the predictions can be based on a hinge angle between the image sensors.

Abstract: Aspects of the present disclosure relate to video stream refinement for a dynamic scene. In examples, a system is provided that includes at least one processor, and memory storing instructions that, when executed by the at least one processor, causes the system to perform a set of operations. The set of operations include receiving an input video stream, identifying, within the input video stream, a frame portion containing features of interest, enlarging the frame portion containing the features of interest, enhancing the frame portion of the input video stream to increase fidelity within the frame portion, and displaying the enhanced frame portion.