Eyelid shape estimation using eye pose measurement
First Claim
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1. A method for eyelid shape estimation, comprising:
- under control of a hardware processor;
detecting a pupillary boundary of an eye using an edge detector;
determining an eye pose of the eye using the pupillary boundary,wherein an eye pose coordinate system of the eye pose comprises an azimuthal angle and a zenithal angle of the eye relative to a resting orientation of the eye,wherein a functional relationship between the eye pose coordinate system and an eyelid shape coordinate system comprises a mapping matrix, andwherein the eyelid shape coordinate system comprises a horizontal shift, a vertical shift, and a curvature of the eyelid;
estimating an eyelid shape of the eye based at least in part on the eye pose and the functional relationship, wherein the functional relationship relates the eye pose to the eyelid shape; and
fitting a parabolic curve of an eyelid shape of the eye based on the eyelid shape.
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Abstract
Systems and methods for eyelid shape estimation are disclosed. In one aspect, after receiving an eye image of an eye (e.g., from an image capture device), an eye pose of the eye in the eye image is determined. From the eye pose, an eyelid shape (of an upper eyelid or a lower eyelid) can be estimated using an eyelid shape mapping model. The eyelid shape mapping model relates the eye pose and the eyelid shape. In another aspect, the eyelid shape mapping model is learned (e.g., using a neural network).
99 Citations
13 Claims
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1. A method for eyelid shape estimation, comprising:
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under control of a hardware processor; detecting a pupillary boundary of an eye using an edge detector; determining an eye pose of the eye using the pupillary boundary, wherein an eye pose coordinate system of the eye pose comprises an azimuthal angle and a zenithal angle of the eye relative to a resting orientation of the eye, wherein a functional relationship between the eye pose coordinate system and an eyelid shape coordinate system comprises a mapping matrix, and wherein the eyelid shape coordinate system comprises a horizontal shift, a vertical shift, and a curvature of the eyelid; estimating an eyelid shape of the eye based at least in part on the eye pose and the functional relationship, wherein the functional relationship relates the eye pose to the eyelid shape; and fitting a parabolic curve of an eyelid shape of the eye based on the eyelid shape. - View Dependent Claims (2, 3, 4, 5)
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6. A head mounted display system comprising:
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an image capture device configured to capture an eye image; non-transitory memory configured to store an eyelid shape mapping model; and a hardware processor in communication with the non-transitory memory, the hardware processor programmed to; determine a pupillary boundary of an eye; determine an eye pose of an eye in the eye image using the determined pupillary boundary, wherein an eye pose coordinate system of the eye pose comprises an azimuthal angle and a zenithal angle of the eye relative to a resting orientation of the eye, wherein a functional relationship between the eye pose coordinate system and an eyelid shape coordinate system comprises the eyelid shape mapping model, and wherein the eyelid shape coordinate system comprises a horizontal shift, a vertical shift, and a curvature of the eyelid; and estimate an eyelid shape of the eye based at least in part on the eye pose and the eyelid shape mapping model, wherein the eyelid shape mapping model relates the eyelid shape to the eye pose. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13)
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Specification