Abstract: A video camera captures images of retroreflection from the retina of an eye. These images are captured while the eye rotates. Thus, different images are captured in different rotational positions of the eye. A computer calculates, for each image, the eye's direction of gaze. In turn, the direction of gaze is used to calculate the precise location of a small region of the retina at which the retroflection occurs. A computer calculates a digital image of a portion of the retina by summing data from multiple retroreflection images. The digital image of the retina may be used for many practical applications, including medical diagnosis and biometric identification. In some scenarios, the video camera captures detailed images of the retina of a subject, while the subject is so far away that the rest of the subject's face is below the diffraction limit of the camera.

Abstract: A video camera captures images of retroreflection from the retina of an eye. These images are captured while the eye rotates. Thus, different images are captured in different rotational positions of the eye. A computer calculates, for each image, the eye's direction of gaze. In turn, the direction of gaze is used to calculate the precise location of a small region of the retina at which the retroflection occurs. A computer calculates a digital image of a portion of the retina by summing data from multiple retroreflection images. The digital image of the retina may be used for many practical applications, including medical diagnosis and biometric identification. In some scenarios, the video camera captures detailed images of the retina of a subject, while the subject is so far away that the rest of the subject's face is below the diffraction limit of the camera.

Abstract: A video camera captures images of retroreflection from the retina of an eye. These images are captured while the eye rotates. Thus, different images are captured in different rotational positions of the eye. A computer calculates, for each image, the eye's direction of gaze. In turn, the direction of gaze is used to calculate the precise location of a small region of the retina at which the retroflection occurs. A computer calculates a digital image of a portion of the retina by summing data from multiple retroreflection images. The digital image of the retina may be used for many practical applications, including medical diagnosis and biometric identification. In some scenarios, the video camera captures detailed images of the retina of a subject, while the subject is so far away that the rest of the subject's face is below the diffraction limit of the camera.

Abstract: A retinal imaging device includes a camera, a light source, a projector, an I/O device and a computer. The projector emits two sets of light rays, such that one set of rays lies on an exterior surface of a first cone, and the other set of rays lie on an exterior surface of a second cone. The user adjusts the position of his or her eye relative to the camera, until the rays form a full, undistorted target image on the retina. This full, undistorted image is only seen when the pupil of the eye is positioned in the intersection of the first and second cones, and the eye is thus aligned with the camera. The user provides input, via the I/O device, that the user is seeing this image. The computer then instructs the camera to capture retinal images and the light source to simultaneously illuminate the retina.

Abstract: A video camera captures images of retroreflection from the retina of an eye. These images are captured while the eye rotates. Thus, different images are captured in different rotational positions of the eye. A computer calculates, for each image, the eye's direction of gaze. In turn, the direction of gaze is used to calculate the precise location of a small region of the retina at which the retroflection occurs. A computer calculates a digital image of a portion of the retina by summing data from multiple retroreflection images. The digital image of the retina may be used for many practical applications, including medical diagnosis and biometric identification. In some scenarios, the video camera captures detailed images of the retina of a subject, while the subject is so far away that the rest of the subject's face is below the diffraction limit of the camera.

Abstract: A retinal imaging device includes a camera, a light source, a projector, an I/O device and a computer. The projector emits two sets of light rays, such that one set of rays lies on an exterior surface of a first cone, and the other set of rays lie on an exterior surface of a second cone. The user adjusts the position of his or her eye relative to the camera, until the rays form a full, undistorted target image on the retina. This full, undistorted image is only seen when the pupil of the eye is positioned in the intersection of the first and second cones, and the eye is thus aligned with the camera. The user provides input, via the I/O device, that the user is seeing this image. The computer then instructs the camera to capture retinal images and the light source to simultaneously illuminate the retina.