Systems and methods for continuous image alignment of separate cameras

A method for facilitating continuous image alignment of two cameras, the method comprising:

• identifying a reference camera transformation matrix between a base reference camera pose and an updated reference camera pose, the base reference camera pose being associated with a base reference camera timepoint that is prior to an updated reference camera timepoint;
• identifying a match camera transformation matrix between a base match camera pose and an updated match camera pose, the base match camera pose being associated with a base match camera timepoint that is prior to an updated match camera timepoint;
• identifying an alignment matrix based on visual correspondences between one or more reference frames captured by the reference camera and one or more match frames captured by the match camera;
• and
• generating a motion model configured to facilitate mapping of a set of pixels of a reference frame captured by the reference camera to a corresponding set of pixels of a match frame captured by the match camera, the motion model being generated based on at least the reference camera transformation matrix, the match camera transformation matrix, and the alignment matrix.

A system for generating a motion model configured to facilitate mapping of a set of pixels of a reference frame captured by a reference camera to a corresponding set of pixels of a match frame captured by a match camera, the system comprising:

• one or more processors;
• and
• one or more hardware storage devices storing computer-executable instructions that are executable by the one or more processors to configure the system to facilitate mapping of a set of pixels of a reference frame captured by a reference camera to a corresponding set of pixels of a match frame captured by a match camera, and by at least configuring the system to perform the following:
• obtain an updateable base matrix based on visual correspondences between a base reference frame captured by the reference camera at a base reference camera pose and a base match frame captured by the match camera at a base match camera pose;
• identify and apply visual correspondences between an updated reference frame captured by the reference camera at an updated reference camera pose and an updated match frame captured by the match camera at an updated match camera pose for generating an updated matrix;
• in response to generating the updated matrix, modify the updateable base matrix with the updated matrix by at least:
• generating an aligned updated matrix by aligning the updated matrix with the updateable base matrix using the base reference camera pose, the base match camera pose, the updated reference camera pose, and the updated match camera pose;
• and
• applying the aligned updated matrix and the updateable base matrix as inputs for updating the updateable base matrix;
• and
• generate a motion model using:
• the updateable base matrix,
• a reference camera transformation matrix generated based on inertial tracking data associated with the reference camera, and
• a match camera transformation matrix generated based on inertial tracking data associated with the match camera.