Abstract: A method to furnish input representing gaze direction in a computer system operatively coupled to a vision system. In this method, a first image of an eye at a first level of illumination is acquired by a camera of the vision system. The first image is obtained from the camera, and a second image of the eye corresponding to a second, different level of illumination is also obtained. Brightness of corresponding pixels of the first and second images is compared in order to distinguish a reflection of the illumination by the eye from a reflection of the illumination by eyewear. The input is then furnished based on the reflection of the illumination by the eye.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: Embodiments relating to determining characteristics of eyeglass lenses are disclosed. A head-mounted display device comprises a camera communicatively coupled to a computing device and including an optical axis having a center point. Light sources are configured to emit light rays toward the lens to produce lens glints. The light sources are in a light source plane that is spaced from a lens plane by an offset distance of between 8 mm and 12 mm. The light sources are either spaced vertically from a line perpendicular to the light source plane and extending through the center point by a distance between 13 mm and 53 mm, or spaced horizontally from the line by a distance of between 13 mm and 80 mm. Lens characterization program logic identifies an image location of each lens glint, and outputs an estimated lens shape model comprising the one or more lens characteristics.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.

Abstract: A method to furnish input representing gaze direction in a computer system operatively coupled to a vision system. In this method, a first image of an eye at a first level of illumination is acquired by a camera of the vision system. The first image is obtained from the camera, and a second image of the eye corresponding to a second, different level of illumination is also obtained. Brightness of corresponding pixels of the first and second images is compared in order to distinguish a reflection of the illumination by the eye from a reflection of the illumination by eyewear. The input is then furnished based on the reflection of the illumination by the eye.

Abstract: Embodiments relating to determining characteristics of eyeglass lenses are disclosed. A head-mounted display device comprises a camera communicatively coupled to a computing device and including an optical axis having a center point. Light sources are configured to emit light rays toward the lens to produce lens glints. The light sources are in a light source plane that is spaced from a lens plane by an offset distance of between 8 mm and 12 mm. The light sources are either spaced vertically from a line perpendicular to the light source plane and extending through the center point by a distance between 13 mm and 53 mm, or spaced horizontally from the line by a distance of between 13 mm and 80 mm. Lens characterization program logic identifies an image location of each lens glint, and outputs an estimated lens shape model comprising the one or more lens characteristics.

Abstract: Embodiments that relate to determining an estimated pupil region of an eye are disclosed. In one embodiment a method includes receiving an image of an eye, with the image comprising a plurality of pixels. A rough pupil region is generated using at least a subset of the plurality of pixels. A plurality of pupil boundary point candidates are extracted from the rough pupil region, with each of the candidates weighted based on color values of at least two neighbor pixels. A parametric curve may be fitted to the weighted pupil boundary point candidates to determine the estimated pupil region of the eye of the user.