Systems and methods for position estimation

A system comprising:

• at least one processor;
• a non-transitory computer-readable medium;
• and
• program instructions stored on the non-transitory computer-readable medium and executable by the at least one processor to cause the system to:
• receive glint-location data indicating a location for each of one or more glints that are reflected from an eye, wherein the glint-location data is captured by an imaging device that is associated with a head-mountable display (HMD);
• determine a plurality of normalized pupil locations comprising at least a first and a second normalized pupil location, wherein each normalized pupil location is determined based on the glint-location data for a different combinatoric subset of the one or more glints;
• determine a regression model to fit the plurality of normalized pupil locations to an expected gaze location;
• and
• perform a gaze-tracking process based on the regression model.

A non-transitory computer-readable medium having stored thereon instructions executable by a computing device having at least one processor to cause the computing device to perform functions comprising:

• receiving glint-location data indicating a location for each of one or more glints that are reflected from an eye, wherein the glint-location data is captured by an imaging device that is attached to a head-mountable display (HMD);
• determining a plurality of normalized pupil locations comprising at least a first and a second normalized pupil location, wherein each normalized pupil location is determined based on the glint-location data for a different combinatoric subset of the one or more glints;
• determining a regression model to fit the plurality of normalized pupil locations to an expected gaze location;
• and
• performing, by a computing device, a gaze-tracking process based on the regression model.